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» Video Parsing for Abnormality Detection
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CVPR
2009
IEEE
15 years 2 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
IPPS
2000
IEEE
13 years 12 months ago
Parallel Parsing of MPEG Video in a Multi-threaded Multiprocessor Environment
Video parsing refers to the detection of scene changes and special e ects in the video stream and is used to extract key frames from a video stream. In this paper, we propose paral...
Suchendra M. Bhandarkar, Shankar R. Chandrasekaran
PCM
2004
Springer
106views Multimedia» more  PCM 2004»
14 years 27 days ago
An Immunological Approach to Raising Alarms in Video Surveillance
Inspired by the human immune system, and in particular the negative selection algorithm, we propose a learning mechanism that enables the detection of abnormal activities. Three ty...
Lukman Sasmita, Wanquan Liu, Svetha Venkatesh
CVPR
2009
IEEE
1863views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Abnormal Crowd Behavior Detection using Social Force Model
In this paper we introduce a novel method to detect and localize abnormal behaviors in crowd videos using Social Force model. For this purpose, a grid of particles is placed ove...
Alexis Oyama, Mubarak Shah, Ramin Mehran