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» Detecting and Tracking Moving Objects for Video Surveillance
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CVPR
2003
IEEE
16 years 3 months ago
Illumination Normalization with Time-dependent Intrinsic Images for Video Surveillance
Cast shadows produce troublesome effects for video surveillance systems, typically for object tracking from a fixed viewpoint, since it yields appearance variations of objects dep...
Yasuyuki Matsushita, Ko Nishino, Katsushi Ikeuchi,...
ICIP
2007
IEEE
16 years 3 months ago
Rotation Detection using the Curl Equation
Rotational types of motion can often be seen in video sequences. However, not a lot of research has been done to investigate rotational motion models for use in video. Analysing t...
Daire Lennon, Naomi Harte, Anil C. Kokaram
ICIP
2010
IEEE
14 years 11 months ago
Face-TLD: Tracking-Learning-Detection applied to faces
A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a ...
Zdenek Kalal, Krystian Mikolajczyk, Jiri Matas
PAMI
2012
13 years 3 months ago
Tracking-Learning-Detection
A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a ...
Zdenek Kalal, Krystian Mikolajczyk, Jiri Matas
ICNSC
2008
IEEE
15 years 8 months ago
A Theoretic Framework for Object Class Tracking
— suppose we have a video, the first half of this video is capturing the images of a sedan and the second half is recording the moving of a truck, can we use the same video track...
Yu Cao, Steve Read, Sachin Raka, Revanth Nandamuri