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» Tracking and Object Classification for Automated Surveillanc...
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CVPR
2007
IEEE
14 years 7 months ago
Multi-Object Tracking Using Color, Texture and Motion
In this paper, we introduce a novel real-time tracker based on color, texture and motion information. RGB color histogram and correlogram (autocorrelogram) are exploited as color ...
Matti Pietikäinen, Valtteri Takala
GI
2007
Springer
13 years 11 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,...
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
15 years 11 days ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
ICCBR
2009
Springer
13 years 11 months ago
Case-Based Collective Inference for Maritime Object Classification
Maritime assets such as merchant and navy ships, ports, and harbors, are targets of terrorist attacks as evidenced by the USS Cole bombing. Conventional methods of securing maritim...
Kalyan Moy Gupta, David W. Aha, Philip Moore
IVC
2002
185views more  IVC 2002»
13 years 5 months ago
Path detection in video surveillance
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...
Dimitrios Makris, Tim Ellis