Person-on-Person Violence Detection in Video Data

Authors:
Ankur Datta;Mubarak Shah;Niels Da Vitoria Lobo
Affiliations:
-;-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Year:
2002

Citing 0
Cited 12

Recognition of two-person interactions using a hierarchical Bayesian network

IWVS '03 First ACM SIGMM international workshop on Video surveillance
Computer vision techniques for PDA accessibility of in-house video surveillance

IWVS '03 First ACM SIGMM international workshop on Video surveillance
Detecting Violent Scenes in Movies by Auditory and Visual Cues

PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Weakly-Supervised Violence Detection in Movies with Audio and Video Based Co-training

PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Improved background subtraction techniques for security in video applications

ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
Object detection based on a robust and accurate statistical multi-point-pair model

Pattern Recognition
Effectively discriminating fighting shots in action movies

Journal of Computer Science and Technology - Special issue on natural language processing
Violence content classification using audio features

SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Audio-Visual fusion for detecting violent scenes in videos

SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Categorizing turn-taking interactions

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Multi-modal based violent movies detection in video sharing sites

IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A naive mid-level concept-based fusion approach to violence detection in Hollywood movies

Proceedings of the 3rd ACM conference on International conference on multimedia retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

We address the problem of detecting human violence in video, such as fist fighting , kicking, hitting with objects, etc. To detect violence we rely on motion trajectory information and on orientation information of a person's limbs. We define an Acceleration Measure Vector (AMV) composed of direction and magnitude of motion and we define jerk to be the temporal derivative of AMV. We present results from several data sequences involving multiple types of violent activities.