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» Object Classification in Visual Surveillance Using Adaboost
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Publication
363views
13 years 8 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong
113
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
GI
2007
Springer
15 years 3 months ago
Multisensor Based Generation of Templates for Object Tracking in Complex Scenarios
Abstract: Protection and surveillance of persons and facilities is frequently associated with automatic tracking of striking objects like vehicles or persons in an image sequence. ...
Carmen Witte, Klaus Jäger, Walter Armbruster,...
128
Voted
CVPR
2012
IEEE
12 years 12 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji
BMVC
2001
14 years 12 months ago
Adaptive Visual System for Tracking Low Resolution Colour Targets
This paper addresses the problem of using appearance and motion models in classifying and tracking objects when detailed information of the object’s appearance is not available....
Pakorn KaewTrakulPong, Richard Bowden