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» Detecting and Tracking Moving Objects for Video Surveillance
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CVPR
2003
IEEE
16 years 8 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 7 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
15 years 4 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 8 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
16 years 18 days 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