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ICIP
2009
IEEE
15 years 11 months ago
Detecting Contextual Anomalies Of Crowd Motion In Surveillance Video
Many works have been proposed on detecting individual anomalies in crowd scenes, i.e., human behaviors anomalous with respect to the rest of the behaviors. In this paper, we intro...
ISCAS
2008
IEEE
197views Hardware» more  ISCAS 2008»
15 years 4 months ago
Human activity recognition for video surveillance
—This paper presents a novel approach for automatic recognition of human activities from video sequences. We first group features with high correlations into Category Feature Vec...
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng...
CVPR
2007
IEEE
16 years 4 days ago
A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video
Reliable tracking of multiple moving objects in video is an interesting challenge, made difficult in real-world video by various sources of noise and uncertainty. We propose a Bay...
Manjunath Narayana, Donna Haverkamp
AVSS
2009
IEEE
15 years 5 months ago
An Ontology for Event Detection and its Application in Surveillance Video
In this paper, we propose an ontology for representing the prior knowledge related to video event analysis. It is composed of two types of knowledge related to the application dom...
Juan Carlos San Miguel, José María M...
ICRA
2009
IEEE
164views Robotics» more  ICRA 2009»
15 years 4 months ago
Assigning cameras to subjects in video surveillance systems
— We consider the problem of tracking multiple agents moving amongst obstacles, using multiple cameras. Given an environment with obstacles, and many people moving through it, we...
Hazem El-Alfy, David Jacobs, Larry Davis