17.1.3.8.4 Human Activities, Violence, Violent Actions

Chapter Contents (Back)
Human Activity. Violence.

Multimodal Meme Classification Identifying Offensive Content in Image and Text,
2019.
WWW Link. Dataset, Offensive Images. MultOFF Dataset.

Ouanane, A., Serir, A.,
An improved geometric descriptor associated with wavelet transform for aggressive human behaviour recognition,
IJCVR(4), No. 3, 2014, pp. 171-194.
DOI Link 1407
BibRef

Kooij, J.F.P.[Julian F.P.], Liem, M.C., Krijnders, J.D., Andringa, T.C., Gavrila, D.M.,
Multi-modal human aggression detection,
CVIU(144), No. 1, 2016, pp. 106-120.
Elsevier DOI 1604
Automated video surveillance BibRef

Ribeiro, P.C.[Pedro Canotilho], Audigier, R.[Romaric], Pham, Q.C.[Quoc Cuong],
RIMOC, a feature to discriminate unstructured motions: Application to violence detection for video-surveillance,
CVIU(144), No. 1, 2016, pp. 121-143.
Elsevier DOI 1604
Violence detection BibRef

Gao, Y.[Yuan], Liu, H.[Hong], Sun, X.H.[Xiao-Hu], Wang, C.[Can], Liu, Y.[Yi],
Violence detection using Oriented VIolent Flows,
IVC(48-49), No. 1, 2016, pp. 37-41.
Elsevier DOI 1604
Violence detection BibRef

Cibulski, L.[Lena], Gracanin, D.[Denis], Diehl, A.[Alexandra], Splechtna, R.[Rainer], Elshehaly, M.[Mai], Delrieux, C.[Claudio], Matkovic, K.[Krešimir],
ITEA: interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data,
VC(32), No. 6-8, June 2016, pp. 847-857.
Springer DOI 1608
BibRef

Du, L.[Liang], Ling, H.B.[Hai-Bin],
Dynamic Scene Classification Using Redundant Spatial Scenelets,
Cyber(46), No. 9, September 2016, pp. 2156-2165.
IEEE DOI 1609
Redundant spatial grouping of a large number of spatiotemporal patches, named scenelet, to represent a dynamic scene. BibRef

Dos Santos, Jr., R.F.[Raimundo F.], Shah, S.[Sumit], Boedihardjo, A.[Arnold], Chen, F.[Feng], Lu, C.T.[Chang-Tien], Butler, P.[Patrick], Ramakrishnan, N.[Naren],
A framework for intelligence analysis using spatio-temporal storytelling,
GeoInfo(20), No. 2, April 2016, pp. 285-326.
Springer DOI 1604
BibRef

Dos Santos, Jr., R.F.[Raimundo F.], Boedihardjo, A.[Arnold], Shah, S.[Sumit], Chen, F.[Feng], Lu, C.T.[Chang-Tien], Ramakrishnan, N.[Naren],
The big data of violent events: algorithms for association analysis using spatio-temporal storytelling,
GeoInfo(20), No. 4, October 2016, pp. 879-921.
Springer DOI 1610
BibRef

Chen, J.[Junkai], Chi, Z.[Zheru], Fu, H.[Hong],
A new framework with multiple tasks for detecting and locating pain events in video,
CVIU(155), No. 1, 2017, pp. 113-123.
Elsevier DOI 1702
Pain event detection BibRef

Zhang, T., Jia, W., He, X., Yang, J.,
Discriminative Dictionary Learning With Motion Weber Local Descriptor for Violence Detection,
CirSysVideo(27), No. 3, March 2017, pp. 696-709.
IEEE DOI 1703
Benchmark testing BibRef

Lloyd, K.[Kaelon], Rosin, P.L.[Paul L.], Marshall, D.[David], Moore, S.C.[Simon C.],
Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures,
MVA(28), No. 3-4, May 2017, pp. 361-371.
Springer DOI 1704
BibRef

Ben Mabrouk, A.[Amira], Zagrouba, E.[Ezzeddine],
Spatio-temporal feature using optical flow based distribution for violence detection,
PRL(92), No. 1, 2017, pp. 62-67.
Elsevier DOI 1705
Violence detection BibRef

Ristea, A.[Alina], Kurland, J.[Justin], Resch, B.[Bernd], Leitner, M.[Michael], Langford, C.[Chad],
Estimating the Spatial Distribution of Crime Events around a Football Stadium from Georeferenced Tweets,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Serrano, I.[Ismael], Deniz, O.[Oscar], Bueno, G.[Gloria], Garcia-Hernando, G.[Guillermo], Kim, T.K.[Tae-Kyun],
Spatio-temporal elastic cuboid trajectories for efficient fight recognition using Hough forests,
MVA(29), No. 2, February 2018, pp. 207-217.
Springer DOI 1802
BibRef

Serraano-Gracia, I.[Ismael],
Contributions to the Problem of Fight Detection in Video,
ELCVIA(16), No. 2, 2017, pp. 33-36.
DOI Link 1804
BibRef

Serrano, I., Deniz, O., Espinosa-Aranda, J.L., Bueno, G.,
Fight Recognition in Video Using Hough Forests and 2D Convolutional Neural Network,
IP(27), No. 10, October 2018, pp. 4787-4797.
IEEE DOI 1808
feature extraction, feedforward neural nets, image motion analysis, image sequences, 2D convolutional neuronal network BibRef

Khokher, M.R., Bouzerdoum, A., Phung, S.L.,
A Super Descriptor Tensor Decomposition for Dynamic Scene Recognition,
CirSysVideo(29), No. 4, April 2019, pp. 1063-1076.
IEEE DOI 1904
BibRef
Earlier:
Violent Scene Detection Using a Super Descriptor Tensor Decomposition,
DICTA15(1-8)
IEEE DOI 1603
Dynamics, Trajectory, Feature extraction, Tensile stress, Cameras, Adaptive optics, Optical imaging, Dynamic scene recognition, refined dense trajectories. cepstral analysis BibRef

Zhang, T.[Tao], Jia, W.J.[Wen-Jing], Gong, C.[Chen], Sun, J.[Jun], Song, X.N.[Xiao-Ning],
Semi-supervised dictionary learning via local sparse constraints for violence detection,
PRL(107), 2018, pp. 98-104.
Elsevier DOI 1805
Semi-supervised learning, Representation constraints, Coefficient incoherence, Dictionary learning, Violence detection BibRef

Lau, P.Y.[Phooi Yee], Hon, H.W.[Hock Woon], Kadim, Z.[Zulaikha], Liang, K.M.[Kim Meng],
A real time aggressive human behaviour detection system in cage environment across multiple cameras,
IJCVR(9), No. 5, 2019, pp. 486-501.
DOI Link 1909
BibRef

Hashemi, M.[Mahdi], Hall, M.[Margeret],
Detecting and classifying online dark visual propaganda,
IVC(89), 2019, pp. 95-105.
Elsevier DOI 1909
Dark Web, Image classification, Convolutional neural networks, Machine learning, Deep learning, Violent extremist organizations BibRef

Ji, Y.[Ying], Wang, Y.[Yu], Kato, J.[Jien], Mori, K.[Kensaku],
Predicting Violence Rating Based on Pairwise Comparison,
IEICE(E103-D), No. 12, December 2020, pp. 2578-2589.
WWW Link. 2012
BibRef

Wang, P.[Pin], Wang, P.[Peng], Fan, E.[En],
Violence detection and face recognition based on deep learning,
PRL(142), 2021, pp. 20-24.
Elsevier DOI 2101
Deep learning, Brute force detection, Face recognition, Convolutional neural network, Video surveillance BibRef

Ye, L.[Liang], Liu, T.[Tong], Han, T.[Tian], Ferdinando, H.[Hany], Seppänen, T.[Tapio], Alasaarela, E.[Esko],
Campus Violence Detection Based on Artificial Intelligent Interpretation of Surveillance Video Sequences,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Peixoto, B.M.[Bruno M.], Lavi, B.[Bahram], Dias, Z.[Zanoni], Rocha, A.[Anderson],
Harnessing high-level concepts, visual, and auditory features for violence detection in videos,
JVCIR(78), 2021, pp. 103174.
Elsevier DOI 2107
BibRef

Li, H.[Hao], Chen, F.[Fan], Mou, Y.[Yi], Li, Y.Q.[Ya-Qin],
Mixed Real-Life and Anime Harmful Images Classification Using Deep Residual Neural Networks and Migration Learning,
ICIVC21(154-160)
IEEE DOI 2112
Degradation, Training, Neural networks, Semisupervised learning, Network security, Feature extraction, Skin, image classification, mitigation learning BibRef

Mugunga, I.[Israel], Dong, J.Y.[Jun-Yu], Rigall, E.[Eric], Guo, S.X.[Shao-Xiang], Madessa, A.H.[Amanuel Hirpa], Nawaz, H.S.[Hafiza Sadia],
A Frame-Based Feature Model for Violence Detection from Surveillance Cameras Using ConvLSTM Network,
ICIVC21(55-60)
IEEE DOI 2112
TV, Image recognition, Hospitals, Surveillance, Human factors, Benchmark testing, deep learning, surveillance cameras BibRef

Constantin, M.G.[Mihai Gabriel], Stefan, L.D.[Liviu-Daniel], Ionescu, B.[Bogdan], Demarty, C.H.[Claire-Hélène], Sjöberg, M.[Mats], Schedl, M.[Markus], Gravier, G.[Guillaume],
Affect in Multimedia: Benchmarking Violent Scenes Detection,
AffCom(13), No. 1, January 2022, pp. 347-366.
IEEE DOI 2203
Videos, Motion pictures, Benchmark testing, YouTube, Task analysis, Market research, Machine learning, Violent scenes detection, literature review BibRef

Yue, H.[Han], Xie, H.[Huafang], Liu, L.[Lin], Chen, J.G.[Jian-Guo],
Detecting People on the Street and the Streetscape Physical Environment from Baidu Street View Images and Their Effects on Community-Level Street Crime in a Chinese City,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Manikandan, V.P., Rahamathunnisa, U.,
A neural network aided attuned scheme for gun detection in video surveillance images,
IVC(120), 2022, pp. 104406.
Elsevier DOI 2204
Classification, CNN, Feature extraction, Deep learning, Object detection BibRef

Gandapur, M.Q.[Maryam Qasim],
E2E-VSDL: End-to-end video surveillance-based deep learning model to detect and prevent criminal activities,
IVC(123), 2022, pp. 104467.
Elsevier DOI 2206
Criminal activities, Video surveillance, End-to-end deep learning, CNN, BiGRU BibRef

Mohamed, A.A.[Abdallah A.], Alqahtani, F.[Fayez], Shalaby, A.[Ahmed], Tolba, A.[Amr],
Texture classification-based feature processing for violence-based anomaly detection in crowded environments,
IVC(124), 2022, pp. 104488.
Elsevier DOI 2208
Anomaly detection, Deep learning, Feature processing, Textural analysis, Video surveillance BibRef

Ruiz-Santaquiteria, J.[Jesus], Velasco-Mata, A.[Alberto], Vallez, N.[Noelia], Deniz, O.[Oscar], Bueno, G.[Gloria],
Improving handgun detection through a combination of visual features and body pose-based data,
PR(136), 2023, pp. 109252.
Elsevier DOI 2301
Handgun detection, Human pose estimation, CCTV Surveillance, Transformers, False positive filtering BibRef

Ullah, F.U.M.[Fath U Min], Obaidat, M.S.[Mohammad S.], Ullah, A.[Amin], Muhammad, K.[Khan], Hijji, M.[Mohammad], Baik, S.W.[Sung Wook],
A Comprehensive Review on Vision-Based Violence Detection in Surveillance Videos,
Surveys(55), No. 10, February 2023, pp. xx-yy.
DOI Link 2302
Survey, Violence Detection. video data, neural networks, deep learning, Artificial Intelligence, smart surveillance, big data BibRef

Magdy, M.[Mai], Fakhr, M.W.[Mohamed Waleed], Maghraby, F.A.[Fahima A.],
Violence 4D: Violence detection in surveillance using 4D convolutional neural networks,
IET-CV(17), No. 3, 2023, pp. 282-294.
DOI Link 2305
video surveillance BibRef

Yang, L.[Liu], Wu, Z.J.[Zhen-Jie], Hong, J.[Junkun], Long, J.[Jun],
MCL: A Contrastive Learning Method for Multimodal Data Fusion in Violence Detection,
SPLetters(30), 2023, pp. 408-412.
IEEE DOI 2305
Feature extraction, Task analysis, Training, Semantics, Optimization, Testing, Loss measurement, Violence detection, information fusion, contrastive learning BibRef

Wu, P.[Peng], Liu, X.T.[Xiao-Tao], Liu, J.[Jing],
Weakly Supervised Audio-Visual Violence Detection,
MultMed(25), 2023, pp. 1674-1685.
IEEE DOI 2306
Videos, Task analysis, Feature extraction, Visualization, Sports, motion pictures, Detectors, Audio-visual signals, weak supervision BibRef

Garcia-Cobo, G.[Guillermo], SanMiguel, J.C.[Juan C.],
Human skeletons and change detection for efficient violence detection in surveillance videos,
CVIU(233), 2023, pp. 103739.
Elsevier DOI 2307
Machine vision and scene understanding, Violence detection, Pose estimation, Deep Learning, ConvLSTM BibRef

Hu, C.B.[Chuan-Bo], Jia, S.[Shan], Zhang, F.[Fan], Xiao, C.J.[Chang-Jiang], Ruan, M.[Mindi], Thrasher, J.[Jacob], Li, X.[Xin],
UPDExplainer: An interpretable transformer-based framework for urban physical disorder detection using street view imagery,
PandRS(204), 2023, pp. 209-222.
Elsevier DOI 2310
Urban physical disorder, Street view imagery, Semantic segmentation, Swin transformer BibRef

Pang, W.F.[Wen-Feng], Xie, W.[Wei], He, Q.[Qianhua], Li, Y.X.[Yan-Xiong], Yang, J.[Jichen],
Audiovisual Dependency Attention for Violence Detection in Videos,
MultMed(25), 2023, pp. 4922-4932.
IEEE DOI 2311
BibRef

Liu, Z.[Zihao], Wu, X.Y.[Xiao-Yu], Wang, S.J.[Sheng-Jin], Shang, Y.M.[Yi-Meng],
Violent Video Recognition Based on Global-Local Visual and Audio Contrastive Learning,
SPLetters(31), 2024, pp. 476-480.
IEEE DOI 2402
Visualization, Self-supervised learning, Feature extraction, Semantics, Training, Synchronization, Optical losses, violent action recognition BibRef


Bhandari, A.[Aashish], Shah, S.B.[Siddhant B.], Thapa, S.[Surendrabikram], Naseem, U.[Usman], Nasim, M.[Mehwish],
CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict,
MMCM23(1994-2003)
IEEE DOI 2309
BibRef

Tan, W.J.[Wei-Jun], Liu, J.[Jingfeng],
Detection of Fights in Videos: A Comparison Study of Anomaly Detection and Action Recognition,
RealWorld22(676-688).
Springer DOI 2304
BibRef

Zhang, Y.S.[You-Shan], Guo, S.Z.[Shao-Zhe], Li, Y.[Yong],
Review of Human Violence Recognition Algorithms,
ICIVC22(16-23)
IEEE DOI 2301
Deep learning, Image recognition, Computational modeling, Stability analysis, Behavioral sciences, Safety, datasets BibRef

Abdali, A.R.[Almamon Rasool], Aggar, A.A.[Ammar Abdullah],
DEVTrV2: Enhanced Data-Efficient Video Transformer For Violence Detection,
ICIVC22(69-74)
IEEE DOI 2301
Event detection, Convolution, Surveillance, Urban areas, Neural networks, Memory management, Transformers, Transformer, CNN, Smart Cities BibRef

González-Villa, J.[Javier], Cuesta, A.[Arturo], Spagnolo, M.[Marco], Zanotti, M.[Marisa], Summers, L.[Luke], Elms, A.[Alexander], Dhaya, A.[Anay], Jedlicka, K.[Karel], Martolos, J.[Jan], Cetinkaya, D.[Deniz],
Decision-Support System for Safety and Security Assessment and Management in Smart Cities,
HBAxSCES22(26-36).
Springer DOI 2208
BibRef

Sharma, S.[Sharad], Ali, S.[Syed],
Multi-agent Crowd Simulation in an Active Shooter Environment,
VAMR22(II:108-120).
Springer DOI 2206
BibRef

Akti, S.[Seymanur], Ofli, F.[Ferda], Imran, M.[Muhammad], Ekenel, H.K.[Hazim Kemal],
Fight Detection from Still Images in the Wild,
RWSurvil22(550-559)
IEEE DOI 2202
Training, Image recognition, Social networking (online), Conferences, Media, Cameras BibRef

Honarjoo, N.[Narges], Abdari, A.[Ali], Mansouri, A.[Azadeh],
Violence detection using pre-trained models,
IPRIA21(1-4)
IEEE DOI 2201
Deep learning, Visualization, Image analysis, Surveillance, Streaming media, Feature extraction, Cameras, violence detection, real-time approach BibRef

Chelali, M.[Mohamed], Kurtz, C.[Camille], Vincent, N.[Nicole],
Violence Detection from Video under 2D Spatio-Temporal Representations,
ICIP21(2593-2597)
IEEE DOI 2201
TV, Face recognition, Surveillance, Neural networks, Feature extraction, Information filters, Video Classification, Convolutional Neural Network BibRef

Boekhoudt, K.[Kayleigh], Matei, A.[Alina], Aghaei, M.[Maya], Talavera, E.[Estefanía],
HR-Crime: Human-Related Anomaly Detection in Surveillance Videos,
CAIP21(II:164-174).
Springer DOI 2112
BibRef

Hall, M.[Margeret], Haas, C.[Christian],
Brown Hands Aren't Terrorists: Challenges in Image Classification of Violent Extremist Content,
DHM21(II:197-207).
Springer DOI 2108
BibRef

Bilge, Y.C.[Yunus Can], Yücel, M.K.[Mehmet Kerim], Cinbis, R.G.[Ramazan Gokberk], Ikizler-Cinbis, N.[Nazli], Duygulu, P.[Pinar],
Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos,
WACV21(3357-3368)
IEEE DOI 2106
Training, Image recognition, Protocols, Target recognition, Face recognition, Surveillance, Training data BibRef

Cheng, M.[Ming], Cai, K.J.[Kun-Jing], Li, M.[Ming],
RWF-2000: An Open Large Scale Video Database for Violence Detection,
ICPR21(4183-4190)
IEEE DOI 2105
Dataset, Violence. Image motion analysis, Databases, Surveillance, Logic gates, Cameras BibRef

Damrongsiri, P.[Prisa], Malekmohamadi, H.[Hossein],
Pickpocketing Recognition in Still Images,
HCAU20(141-152).
Springer DOI 2103
BibRef

Sansone, C.[Carlo], Sperlí, G.[Giancarlo],
A Survey About the Cyberbullying Problem on Social Media by Using Machine Learning Approaches,
RISS20(672-682).
Springer DOI 2103
BibRef

Quarmley, M., Yang, Z., Athar, S., Zelinksy, G., Samaras, D., Jarcho, J.M.,
Nonverbal Behavioral Patterns Predict Social Rejection Elicited Aggression,
FG20(557-561)
IEEE DOI 2102
Task analysis, Pupils, Mathematical model, Support vector machines, Particle measurements, Games, Atmospheric measurements, social rejection BibRef

Su, Y.K.[Yu-Kun], Lin, G.S.[Guo-Sheng], Zhu, J.H.[Jin-Hui], Wu, Q.Y.[Qing-Yao],
Human Interaction Learning on 3d Skeleton Point Clouds for Video Violence Recognition,
ECCV20(IV:74-90).
Springer DOI 2011
BibRef

Wu, P.[Peng], Liu, J.[Jing], Shi, Y.J.[Yu-Jia], Sun, Y.J.[Yu-Jia], Shao, F.T.[Fang-Tao], Wu, Z.Y.[Zhao-Yang], Yang, Z.W.[Zhi-Wei],
Not only Look, But Also Listen: Learning Multimodal Violence Detection Under Weak Supervision,
ECCV20(XXX: 322-339).
Springer DOI 2010
BibRef

Traoré, A.[Abdarahmane], Akhloufi, M.A.[Moulay A.],
2d Bidirectional Gated Recurrent Unit Convolutional Neural Networks for End-to-end Violence Detection in Videos,
ICIAR20(I:152-160).
Springer DOI 2007
BibRef

Ji, Y., Wang, Y., Katoy, J.,
Visual Violence Rating with Pairwise Comparison,
ICIP19(3332-3336)
IEEE DOI 1910
Visual violence analysis, Pairwise comparison, Rating estimation BibRef

Lejmi, W.[Wafa], Ben Khalifa, A.[Anouar], Mahjoub, M.A.[Mohamed Ali],
Challenges and Methods of Violence Detection in Surveillance Video: A Survey,
CAIP19(II:62-73).
Springer DOI 1909
Survey, Violence Detection. BibRef

Hanson, A.[Alex], PNVR, K.[Koutilya], Krishnagopal, S.[Sanjukta], Davis, L.S.[Larry S.],
Bidirectional Convolutional LSTM for the Detection of Violence in Videos,
Objectionable18(II:280-295).
Springer DOI 1905
BibRef

Singh, A., Patil, D., Omkar, S.,
Eye in the Sky: Real-Time Drone Surveillance System (DSS) for Violent Individuals Identification Using ScatterNet Hybrid Deep Learning Network,
EfficientDeep18(1710-17108)
IEEE DOI 1812
Personal area networks, Drones, Feature extraction, Surveillance, Pose estimation, Training BibRef

Majumdar, P., Chhabra, S., Singh, R., Vatsa, M.,
On Detecting Domestic Abuse via Faces,
AMFG18(2254-22546)
IEEE DOI 1812
Injuries, Databases, Feature extraction, Facial features, Manuals, Training BibRef

Sudhakaran, S., Lanz, O.,
Learning to detect violent videos using convolutional long short-term memory,
AVSS17(1-6)
IEEE DOI 1806
feature extraction, feedforward neural nets, learning (artificial intelligence), object detection, Videos BibRef

Meng, Z.[Zihan], Yuan, J.B.[Jia-Bin], Li, Z.[Zhen],
Trajectory-Pooled Deep Convolutional Networks for Violence Detection in Videos,
CVS17(437-447).
Springer DOI 1711
BibRef

Huang, J.J.[Jing-Jia], Li, G.[Ge], Li, N.N.[Nan-Nan], Wang, R.G.[Rong-Gang], Wang, W.M.[Wen-Min],
A Violence Detection Approach Based on Spatio-temporal Hypergraph Transition,
CAIP17(II: 218-229).
Springer DOI 1708
BibRef

Moreira, D., Avila, S., Perez, M., Moraes, D., Testoni, V., Valle, E., Goldenstein, S.K.[Siome K.], Rocha, A.[Anderson],
Temporal Robust Features for Violence Detection,
WACV17(391-399)
IEEE DOI 1609
Detectors, Feature extraction, Motion pictures, Robustness, Standards, Videos, Visualization BibRef

Moria, K.[Kawthar], Albu, A.B.[Alexandra Branzan], Wu, K.[Kui],
Computer Vision-Based Detection of Violent Individual Actions Witnessed by Crowds,
CRV16(303-310)
IEEE DOI 1612
BibRef
Earlier:
Fire Detection in Videos of Violent Crowds Acquired with Handheld Devices,
CRV15(101-108)
IEEE DOI 1507
behaviour analysis. Cameras BibRef

Mohammadi, S.[Sadegh], Perina, A.[Alessandro], Kiani, H.[Hamed], Murino, V.[Vittorio],
Angry Crowds: Detecting Violent Events in Videos,
ECCV16(VII: 3-18).
Springer DOI 1611
BibRef

Bilinski, P.[Piotr], Bremond, F.[Francois],
Human violence recognition and detection in surveillance videos,
AVSS16(30-36)
IEEE DOI 1611
Covariance matrices BibRef

Guo, W.Y.[Wen-Yue], Liu, H.Y.[Hai-Yan], Yu, A.Z.[An-Zhu], Li, J.[Jing],
Research On Visual Analysis Methods Of Terrorism Events,
ISPRS16(B2: 191-196).
DOI Link 1610
BibRef

Hanif, M.A., Butt, A.A., Khan, M.M.,
Detecting riots using action localization,
ICIP16(3031-3035)
IEEE DOI 1610
Feature extraction BibRef

Vempati, A.S.[Anurag Sai], Agamennoni, G.[Gabriel], Stastny, T.[Thomas], Siegwart, R.[Roland],
Victim Detection from a Fixed-Wing UAV: Experimental Results,
ISVC15(I: 432-443).
Springer DOI 1601
BibRef

Mohammadi, S.[Sadegh], Kiani, H.[Hamed], Perina, A.[Alessandro], Murino, V.[Vittorio],
Violence detection in crowded scenes using substantial derivative,
AVSS15(1-6)
IEEE DOI 1511
Acceleration BibRef

Rota, P.[Paolo], Conci, N.[Nicola], Sebe, N.[Nicu], Rehg, J.M.[James M.],
Real-life violent social interaction detection,
ICIP15(3456-3460)
IEEE DOI 1512
Dataset; Fight Detection; Real-Life Scenario; Scene Analysis BibRef

Zizi, T.K.T.[Tuan Khalisah Tan], Ramli, S.[Suzaimah], Ibrahim, N.[Norazlin], Zainudin, N.M.[Norulzahrah Mohd], Abdullah, L.N.[Lili Nurliyana], Hasbullah, N.A.[Nor Asiakin],
Implementing Low Level Features for Human Aggressive Movement Detection,
IVIC15(296-302).
Springer DOI 1511
BibRef

Ding, C.H.[Chun-Hui], Fan, S.[Shouke], Zhu, M.[Ming], Feng, W.G.[Wei-Guo], Jia, B.Z.[Bao-Zhi],
Violence Detection in Video by Using 3D Convolutional Neural Networks,
ISVC14(II: 551-558).
Springer DOI 1501
BibRef

Hammal, Z., Bailie, T.E., Cohn, J.F., George, D.T., Saraghi, J., Chiquero, J.N., Lucey, S.,
Temporal coordination of head motion in couples with history of interpersonal violence,
FG13(1-8)
IEEE DOI 1309
behavioural sciences computing BibRef

Hassner, T.[Tal], Itcher, Y.[Yossi], Kliper-Gross, O.[Orit],
Violent flows: Real-time detection of violent crowd behavior,
SISM12(1-6).
IEEE DOI 1207
BibRef

Wang, D.[Dong], Zhang, Z.[Zhang], Wang, W.[Wei], Wang, L.[Liang], Tan, T.N.[Tie-Niu],
Baseline Results for Violence Detection in Still Images,
AVSS12(54-57).
IEEE DOI 1211
BibRef

Demarty, C.H.[Claire-Hélène], Penet, C.[Cédric], Gravier, G.[Guillaume], Soleymani, M.[Mohammad],
A Benchmarking Campaign for the Multimodal Detection of Violent Scenes in Movies,
Concept12(III: 416-425).
Springer DOI 1210
BibRef

Nievas, E.B.[Enrique Bermejo], Deniz Suarez, O.[Oscar], García-Hernando, G.B.[Gloria Bueno], Sukthankar, R.[Rahul],
Violence Detection in Video Using Computer Vision Techniques,
CAIP11(II: 332-339).
Springer DOI 1109
BibRef

Mühling, M.[Markus], Ewerth, R.[Ralph], Stadelmann, T.[Thilo], Freisleben, B.[Bernd], Weber, R.[Rene], Mathiak, K.[Klaus],
Semantic video analysis for psychological research on violence in computer games,
CIVR07(611-618).
DOI Link 0707
BibRef

Giannakopoulos, T.[Theodoros], Pikrakis, A.[Aggelos], Theodoridis, S.[Sergios],
A Multimodal Approach to Violence Detection in Video Sharing Sites,
ICPR10(3244-3247).
IEEE DOI 1008
BibRef

Chen, D.T.[Da-Tong], Chen, M.Y.[Ming-Yu], Wactlar, H.[Howard], Gao, C.[Can], Bharucha, A.[Ashok],
Video measurement of resident-on-resident physical aggression in nursing homes,
VNBA08(61-68).
DOI Link 1208
Continuously recorded nursing home video. BibRef

Liu, F.W.[Fa-Wang], Jia, Y.D.[Yun-De],
Violence classification based on shape variations from multiple views,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Mecocci, A.[Alessandro], Micheli, F.[Francesco],
Real-Time Automatic Detection of Violent-Acts by Low-Level Colour Visual Cues,
ICIP07(I: 345-348).
IEEE DOI 0709
BibRef

Datta, A., Shah, M.[Mubarak], da Vitoria Lobo, N.,
Person-on-person violence detection in video data,
ICPR02(I: 433-438).
IEEE DOI 0211
BibRef

Dever, J., da Vitoria Lobo, N., Shah, M.[Mubarak],
Automatic visual recognition of armed robbery,
ICPR02(I: 451-455).
IEEE DOI 0211
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Activities, Tourist Traffic Flow .


Last update:Mar 16, 2024 at 20:36:19