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» Video Parsing for Abnormality Detection
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CVPR
2009
IEEE
15 years 4 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
14 years 1 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 2 months 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 4 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