Surveillance camera fight dataset. This dataset is made publicly available.
Surveillance camera fight dataset. 4% on the Hockey-Fight dataset, 93.
Surveillance camera fight dataset This paper presents a comprehensive survey of deep In this work, we tackle this problem by firstly proposing CCTV-Fights 1, a novel and challenging dataset containing 1,000 videos of real fights, with more than 8 hours of annotated CCTV footage. In contrast, we adopted the Hockey Fight dataset and the Bus Violence dataset as the target domains \({\mathcal {D}}_T\). In this paper, we present a novel May 15, 2022 · The I3D model is implemented on the surveillance camera fight dataset to detect violence in video footages through the following 3 stages. Dec 1, 2020 · the RWF-20 0 0 [8], a dataset including 20 0 0 clips from real video surveillance cameras. Respectively, we obtained classification accuracy of: 95%, 67% and 81%. DCSASS Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. In addition, we classify normal and abnormal events and show the method’s ability to find the right category for each anomaly. Specific scenarios are searched using “fight” as a search keyword, for example, “street fight”, “beach fight”, and “violence in the restaurant”. To complement these datasets, in this study, a fight dataset is constructed by using the surveillance camera footages from YouTube are at least two datasets, the UBI-Fight [4] and the NTU-CCTV-Fight [19], which provide frame-level labels. There are 300 videos in total as 150 fight + 150 non-fight; Videos are 2-second long; Only the fight related parts are included in Though there are some datasets on crowd surveillance and events analysis [3,36,37], incidents [68,50], or violence [70,23, 46], most of these datasets are small, typically focus on peaceful events This paper addresses this research problem and explores LSTM-based approaches to solve it. Nov 1, 2019 · This paper addresses this research problem and explores LSTM-based approaches to solve it. This has mainly four drawbacks: 1) events are controlled and predictable because they are usually performed by actors; 2) environmental conditions, e. This dataset is made publicly available 1. VFD-2000 is a video fight detection dataset containing more than 2000 videos. Real time fight detection from surveillance videos will help in preventing or stopping the fight. Half of them (500 clips) are labeled as fight and another half as non-fight. There are 300 videos in total as 150 fight + 150 non-fight; Videos are 2-second long; Only the fight related parts are included in the samples The dataset is collected from the Youtube videos that contains fight instances in it. Cheng et al. The dataset includes both CCTV and non-CCTV videos, with the CCTV videos being longer in Nov 9, 2019 · This paper addresses this research problem and explores LSTM-based approaches to solve it. in Vision-based Fight Detection from Surveillance Cameras See full list on github. 4% on the Hockey-Fight dataset, 93. 2018. Besides, a new dataset is collected, which consists of fight scenes from surveillance camera videos available at YouTube. - -fight-detection-surv-dataset/README. * There are 300 videos in total as 150 fight + 150 non-fight * Videos are 2-second long * Only the fight related parts are included in the samples Surveillance Camera's videos that contain anomalies and normal behaviors. Also, some non-fight sequences from regular surveillance camera videos are included. - RUZaman/-fight-detection-surv-dataset Download scientific diagram | Samples of The Surveillance Fight Dataset from publication: Detection of Violence Behavior using Deep Learning Technique | Deep learning-based violence detection This paper addresses this research problem and explores LSTM-based approaches to solve it. However, the scarcity of labeled abnormal behavior data poses significant challenges for developing effective detection systems. 200 videos under 20 different scenes are collected. Non-violence = 1000 videos; Violence = 1000 videos 2018 - AAU RainSnow Traffic Surveillance Dataset - RGB and thermal camera Reference: Bahnsen, Chris H. hockey arenas). Mar 2, 2024 · However, the dataset consists of various video types including surveillance videos and moving-camera videos. Jun 5, 2024 · With the widespread deployment of surveillance cameras, automatic violence detection has attracted extensive attention from industry and academia. These issues have been faced by the RWF-2000 [8], a dataset including 2000 clips from real video surveillance cameras. , is desired, to get violent incidents under control quickly to reduce casualties. Fighting videos include group brawls between two or more people; non-fighting videos contain video samples from daily surveillance views and some action clips that are easy to confuse with fighting actions. On the other hand, regarding the Real-life Violence Situations dataset in Table 4 , the best model was the ResNet 3D network, followed by SlowFast. With the frame-level labels, we can use super-vised action detection. in Vision-based Fight Detection from Surveillance Cameras This dataset is benefited for developing a fight detection system which is aimed to use in surveillance cameras in public areas such as streets, underground stations and more. Learn more. There are 300 videos in total as 150 fight + 150 non-fight; Videos are 2-second long; Only the fight related parts are included in the samples Sep 4, 2020 · The CHU Surveillance Violence Dataset (CSVD) is a collection of CCTV footage of violent and non-violent actions aiming to characterize the composition of violent actions into more specific actions. e. This dataset is composed of 1000 video clips collected from hockey games of the National Hockey League (NHL) and all the videos are recorded by moving camera. com CCTV-Fights Dataset contains 1,000 videos picturing real-world fights, recorded from CCTVs or mobile cameras. , around 70% when more representative datasets are used for training. The best results have been achieved on RWF2000, which was a challenging dataset as it is the largest surveillance violence video dataset till now. A database with 2,000 videos captured by surveillance cameras in real-world scenes. The abundant presence of surveillance cameras result in huge volumes of video Oct 3, 2018 · Hockey Fight dataset. Nov 1, 2019 · Later a few more realistic datasets from surveillance or mobile cameras are made available, including the one in [1], the NTU-CCTV-Fight dataset [19] and the UBI-Fight dataset [4]. 4% on the Surveillance Camera Fight dataset, 99. The experimental results showed that RTPNet outperformed the SOTA method. Vision-based activity recognition is one of the most challenging research topics of computer vision and pattern recognition. Nevertheless, in terms of accuracy, especially for the prevention of false positives, there is still the need to Surveillance Camera Fight Dataset . Total = 2834 images. The results substantiate Jun 30, 2024 · Detecting abnormal human behaviors in surveillance videos is crucial for various domains, including security and public safety. The background is similar in most of these videos. Dec 9, 2022 · The proposed model has been tested on four violence benchmarks that are often used in video violence detection: RWF2000, Crowd violence, Hockey Fight, and Movie dataset. Many successful detection techniques based on deep learning models have been introduced. Crimes dataset includes different crime scenarios such as robbery, argon, burglary etc. 2). Synthetically Generated Surveillance Perspective Human Action Recognition Dataset: 6901 Videos from 10 action classes, made by a 3D Simulation, all cropped spatio-temporally and filmed from a surveillance-camera like position. A specific application of it, namely, detecting fights from surveillance cameras in public areas, prisons, etc. Oct 31, 2022 · The dataset which provides the best generalization capabilities over our Bus Violence benchmark resulted in being the Surveillance Camera Fight dataset, followed by RWF-2000. See a full comparison of 2 papers with code. These vectors are processed through Long Short Term Memory to classify fights. Mar 23, 2023 · The abundant presence of surveillance cameras result in huge volumes of video data, which need to be monitored constantly. Surveillance Camera Fight Dataset. 1-18, doi: 10. Mar 25, 2024 · The above dataset contains several surveillance views of fight and non-fight videos ranging from 1 s to several hours in length. 2872502 May 1, 2024 · The model was trained and evaluated on two datasets, the Surveillance Camera Fight Dataset (SCFD) and the Real-World Fighting (RWF-2000) dataset , two of the main violence datasets that consist of general surveillance footage only . 4. The surveillance camera footages are collected from YouTube mostly and some surveillance camera datasets like CamNet [31] and Synopsis dataset [32], [33] are used for extracting non-fight video cuts. We produced several simple action classes for violent and non-violent actions do add variety and better distribution among simple and complex action classes for RGB and Action Silhouette Videos Nov 16, 2021 · Although the methods achieve close to 100% accuracy when trained and tested on the same fight dataset, the cross-dataset accuracies are significantly lower, i. Though researchers have made great progress in video-based violence detection, it is still a challenging task to realize accurate violence detection in real time, especially with limited computing resources. In organizations, they use some potential procedures for recognition the activity in which normal and abnormal activities can be found easily. 4% on the Surveillance Jun 28, 2019 · Surveillance Camera Fight Dataset的引入，为这一领域的研究提供了宝贵的资源。 该数据集不仅包含了多种打斗场景的视频样本，还涵盖了不同环境下的非打斗视频，从而为模型训练提供了丰富的数据支持。 New generated dataset for fight detection in surveillance cameras. OK, Got it. \nSecurity camera footages are collected from Youtube and cut into smaller parts. Nov 1, 2024 · Finally, experiments were conducted on four video level benchmarks, achieving an accuracy of 99. The surveillance camera fight dataset was introduced by Aktı et al. In this paper, we summarize several existing video datasets for violence detection and propose a new video dataset with 2,000 videos all captured by surveillance cameras in real New generated dataset for fight detection in surveillance cameras. Fights in parking lots, bars, restaurants and public places can be avoided if there is a system that does real time detection. The proposed system compares the fight detection Surveillance Camera Fight Dataset Introduced by Aktı et al. May 18, 2023 · Surveillance Camera Fight Dataset. This paper addresses this research problem and explores LSTM-based approaches to solve it. camera motion and illumination, are usually ideal thus realistic conditions are not well reflected; 3) events are The dataset which provides the best generalization capabilities over our Bus Violence benchmark resulted in being the Surveillance Camera Fight dataset, followed by RWF-2000. In [22], violence detection was performed using separate audio and video models on the RLVS dataset. . 3% on the RWF-2000 dataset, and 93. On the NTU-CCTV In surveillance camera dataset, there are 300 videos in total, 150 of them are fight sequences and 150 of them are non-fight sequences. Nov 18, 2024 · We also conducted experiments on four datasets, including Hockey-Fight, RWF-2000, Surveillance Camera Fight, and AVD dataset. applications in security and surveillance systems, where it can be used to detect violent behavior in real-time. Dec 1, 2020 · However, such datasets include few low-res videos, sometimes in too specific environments (e. Three datasets were combined for this task: Hockey Fight, Movies and Crowd Violence. Hi I'm looking for a video dataset on indoor scenes and preferably on human activities, with the following requirements: filmed by static camera / CCTV, with decent quality (720p, 30FPS or better). md at master · RUZaman/-fight-detection-surv-dataset Jan 15, 2020 · Sample violent scenes from hockey fight dataset are shown in (Fig. , "Rain Removal in Traffic Surveillance: Does it Matter?", IEEE Transactions on Intelligent Transportation Systems, 2018, pp. The UCF-Crime Dataset is one of the largest publicly available datasets designed for anomaly detection in video surveillance systems. The hockey fight dataset contains 1,000 short clips taken from the league games. From the extensive experiments conducted . May 20, 2024 · Hockey fight. Further, the reach of large and diverse datasets is critical for training and testing these algorithms. Feb 11, 2020 · This paper addresses this research problem and explores LSTM-based approaches to solve it. The TOPOP Action Cam OD009B (12 MP, fisheye lens 170°). Violent incidents are difficult to detect because of disruptions in optical flow, complications caused by Mar 13, 2022 · The RWF-2000 dataset contains 2000 video samples: 1000 violent and 1000 nonviolent, which were taken by surveillance cameras in different real-life situations. CCTV-Fights Dataset contains 1,000 videos picturing real-world fights, recorded from CCTVs or mobile cameras. PROPOSED DATASET The Hockey Fight dataset, the Movies Fight dataset, and the Crowd Violence dataset are widely used for video-based vi-olence detection [4,5,6], however, they are still with small scale and limited diversity. Surveillance Camera Fight Dataset \n 150 non-fight + 150 fight videos = 300 videos in total\nVideo durations are 2 second long. SMFI dataset is found to be one of the two most representative datasets among the utilized five fight datasets. The dataset samples gathered from social media (Twitter and Google) and NTU-CCTV Fights 1 dataset. These experimental results showed that RTPNet outperformed the most advanced methods in the past, achieving an accuracy of 99. Train = 1969 images; Valid = 575 images; Test = 290 images; Video dataset: Kaggle Dataset (Not using this as it is same dataset as our selected image dataset) Total = 2000 videos. A recent dataset released in 2019 [20], contains surveillance camera videos with fight instances. 4% on the Surveillance Aug 29, 2024 · Detecting violence in images has emerged as an important area of research and application as digital imaging and computer vision advance. * There are 300 videos in total as 150 fight + 150 non-fight * Videos are 2-second long * Only the fight related parts are included in the samples Surveillance Camera Fight Dataset \n. The RWF-2000 dataset was modified; the videos that had violent scenes longer than 1 s in the video were trimmed so the violent event starts at the beginning of the video. Sep 19, 2024 · Detecting violence is important for preserving security and reducing crime against humans, animals, and properties. Moreover, the attention layer is also utilized. The Movies dataset contained 200 video clips with half containing violent scenes and the other non-violent. Nov 1, 2024 · These experimental results showed that RTPNet outperformed the most advanced methods in the past, achieving an accuracy of 99. In this study, the aim is to detect violence in images using deep learning techniques to enhance The dataset is collected from the Youtube videos that contains fight instances in it. Such capability may be extremely useful in some video surveillance scenarios like in prisons, psychiatric or elderly centers or even in camera phones. along with fighting [19]. The cameras are: The front camera of the Asus Zenfone Selfie ZD551KL (13 MP, Auto Focus, f/2. Since the main concern is recognizing fight actions in the wild, real-world scenarios are included in manually monitor a large amount of video data from surveillance cameras. (a) Confusion matrix obtained for Surveillance Fight Dataset, while (b) and (c) shows confusion matrix for indoor and outdoor scenes in Surveillance Fight Dataset, while (d) and (e) show the confusion matrix of Violent Flow and Hockey Fight dataset, respectively [15]. Security and Surveillance Systems. Videos of fight footage separated into CCTV/Non-CCTV Video Fights Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Figure 14 illustrates sample frames from the datasets and Tables 6, 7, 8, and 9 present the quantitative outcomes in terms of accuracy. The dataset is collected from the Youtube videos that contains fight instances in it. Dec 14, 2022 · The proposed system compares the fight detection accuracy in surveillance video dataset by applying two approaches namely 3DCNN – Three Dimensional Convolutional Neural Network and CNN-LSTM- Long Short Term Memory network and ended up with significantly fairer accuracy with lots of challenges in implementation. 150 non-fight + 150 fight videos = 300 videos in total\nVideo durations are 2 second long. Therefore, it motivates us to establish a public challenging urban surveillance video dataset which is more realistic to evaluate the performance of various algorithms for object tracking and behavior analysis. From the extensive experiments conducted Feb 11, 2020 · This paper addresses this research problem and explores LSTM-based approaches to solve it. The adoption of computer vision and machine learning techniques enables various applications for collected video features; one of the major is safety monitoring. In this paper, we propose a lightweight Nov 18, 2024 · We also conducted experiments on four datasets, including Hockey-Fight, RWF-2000, Surveillance Camera Fight, and AVD dataset. present the RWF-2000 (Real-World Fighting) dataset consisting of 2000 clips without audio information captured all by surveillance cameras in the real world. The Hockey Fight dataset contained 1000 video clips with half containing violent scenes and the other non-violent. Since some videos in the dataset lacked sound, the authors up-dated the dataset to include 250 videos for each class. Surveillance fight contains 300 videos, 150 each for fight and non-fight. Deep learning algorithms have shown potential for detecting violent acts. 2. The former consists of trimmed Feb 11, 2020 · This paper addresses this research problem and explores LSTM-based approaches to solve it. In this context, a new image dataset on the fight recognition from still images task is collected named Social Media Fight Images (SMFI) dataset. The fights can contain a diverse range of actions and attributes, for example: punching, kicking, pushing, wrestling, with two persons or more, etc. Aug 26, 2024 · Similarly, the Violent Flows Dataset and the Surveillance Camera Fight Dataset contain scenes depicting both violent and non-violent scenarios, like the classes such as LPG, LVG, and N. Never- theless, in terms of accuracy, especially for the prevention of false positives, there is still the Apr 6, 2022 · surveillance camera videos are examined and addressed in depth in this study. But Download scientific diagram | Summary of some of the most relevant datasets com- monly used for Fight Detection. In this research, multiple key challenges have been oncorporated with the existing work and the proposed work However, such datasets include few low-res videos, sometimes in too specific environments (e. Both contain real-world fights, indoors as well as outdoors, as recorded by surveillance cameras. Detecting and assessing violent content automatically in visual data holds great promise for enhancing public safety, security, and content moderation. The videos are organized as fight (500) and non-fight (500), having 50 frames with a resolution of 360 by 288. This dataset is made publicly available. From the extensive experiments conducted large amount of video data from surveillance cameras. This paper summarizes several existing video datasets for violence detection and proposes the RWF-2000 database with 2,000 videos captured by surveillance cameras in real-world scenes. Feb 11, 2020 · Besides, a new dataset is collected, which consists of fight scenes from surveillance camera videos available at YouTube. The details of the implementation and experiments are included in our paper "Vision-based Fight Detection From Surveillance Cameras" which is presented at IPTA 2019 The dataset videos were collected from YouTube, searching with keywords such as: CCTV Fight, Mugging, Violence, Surveillance, Physical violence, etc. The results showed Results: We have conducted multiple experiments on two publicly available violent activity datasets, such as Surveillance Fight and Hockey Fight datasets; our proposed model achieved accuracies of The current state-of-the-art on Hockey Fight Detection Dataset is CNN+LSTM. • Hockey fights: Dataset composed of equal number of The clips were recorded with two cameras placed in two different spots, building a dataset with videos from two different points of view. The efficacy of violent event detection is measured by the efficiency and accuracy of violent event detection. 1109/TITS. YouTube is the data source. 1 Data Pre-processing. 3% on the AVD dataset. * There are 300 videos in total as 150 fight + 150 non-fight * Videos are 2-second long * Only the fight related parts are included in the samples The dataset is collected from the Youtube videos that contains fight instances in it. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. It contains an extensive collection of 128 hours of video footage, captured from real-world surveillance cameras, offering a robust and diverse dataset for training AI models in detecting and recognizing abnormal activities in public spaces. In the Hockey Fight dataset, there are 1,000 video clips extracted from hockey games of the National Hockey League (NHL). from publication: Detection of Real-world Fights in Surveillance Videos | CCTVs The dataset includes fights recorded from CCTV cameras as well as from mobile cameras, car cameras (dash-cams), and drones or helicopters. Surveillance fight. , 2011) contains. The Aug 27, 2024 · These datasets comprise annotated videos captured by stationary security cameras, featuring a diverse array of trimmed violent and non-violent scenes that span various real-life situations. The Hockey fight dataset (Nievas et al. Then we propose a pipeline, on which we assess the impact of different feature extractors, through Two-stream CNN, 3D CNN and a local interest point Apr 23, 2022 · Real-time violence detection with the use of surveillance is the process of using live videos to detect violent and irregular behavior. Jan 26, 2022 · Intelligent video surveillance systems are rapidly being introduced to public places. We also provide frame-level annotation of each fight instance segment present in the videos, with its exact starting and ending points. 4% on the Surveillance Camera Fight dataset, and 99. g. This method was verified on three labeled datasets, commonly found in fight detection research: Movie Fight Dataset, Surveillance Camera Fight Dataset and Violence Detection Dataset. 1000 video clips and the Crowd Violence Dataset. After an analysis of previous approaches we test the well-known Bag-of-Words framework used for action recognition in the specific problem of fight detection, along with two of the best action In recent years, designing and testing video anomaly detection methods have focused on synthetic or unrealistic sequences. The RWF-2000 dataset involves various violence activities such as fighting, robbing, shooting and etc. Therefore, automatically recognizing violent behaviors from video signals becomes essential. Jan 1, 2024 · Confusion matrix of proposed VD method. The videos were collected from YouTube and other sources using keywords related to real fights and surveillance. There are 300 videos in total as 150 fight + 150 non-fight; Videos are 2-second long; Only the fight related parts are included in the samples Considering the pre-training Surveillance Camera Fight dataset, the model which turns out to be the most performing is SlowFast, followed by the Video Swim Transformer. and Moeslund, Thomas B. Surveillance Camera Fight Dataset Introduced by Aktı et al. the 3 datasets captured from closed- circuited-TV, Phone or high-resolution recorder, the quality, number of pixels and length varies between dataset. It is fairly believed that This dataset is benefited for developing a fight detection system which is aimed to use in surveillance cameras in public areas such as streets, underground stations and more. These issues have been faced by the RWF-2000 , a dataset including 2000 clips from real video surveillance cameras. This paper addresses this research problem and explores LSTMbased approaches to solve it. Each clip roughly contains 40 frames with resolution of 360 × 288. 3% on the RWF-2000 dataset, 93. Nevertheless, in terms of accuracy, especially for the prevention of false positives, there is still the need to Custom training dataset : Roboflow Dataset. Nov 26, 2021 · Furthermore, in contrast with previous works, which mainly focused on hand-crafted datasets, our dataset took real-time surveillance camera feeds with different subjects and environments. To test our methodology, we work with these three datasets, Hockey Fight Dataset [4], Movies Dataset [5] and Violent-Flows [6]. In this paper, we mostly use the UBI-Fight dataset in our study, while other datasets are used to benchmark our algorithms’ performance. 1) Since manual monitoring is highly tedious along with the rapid installation of thousands of surveillance cameras in public places, there exists a wide scope in automating the surveillance event detection to seek intelligent solutions through machine learning algorithms. However, as already highlighted, not one architecture shines when tested against our challenging scenario. qyyaktjcqsvmwzfmrxqwiolpjvjudgdfbcruvdavwrh