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» Tracking features on a moving object using local image bases
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CVPR
2001
IEEE
14 years 11 months ago
Scene-Consistent Detection of Feature Points in Video Sequences
Detection of feature points in images is an important preprocessing stage for many algorithms in Computer Vision. We address the problem of detection of feature points in video se...
Ariel Tankus, Yehezkel Yeshurun
JMM2
2006
83views more  JMM2 2006»
13 years 9 months ago
Bhattacharyya Coefficient in Correlation of Gray-Scale Objects
Bhattacharyya coefficient is a popular method that uses color histograms to correlate images. Bhattacharyya Coefficient is believed to be the absolute similarity measure for freque...
M. Sohail Khalid, M. Umer Ilyas, M. Saquib Sarfara...
ICCV
2009
IEEE
13 years 7 months ago
Associative hierarchical CRFs for object class image segmentation
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
Lubor Ladicky, Christopher Russell, Pushmeet Kohli...
ICRA
1998
IEEE
108views Robotics» more  ICRA 1998»
14 years 1 months ago
Zoom Tracking
We present a new active vision technique called zoom tracking. Zoom tracking is the continuous adjustment of a camera's focal length in order to keep a constant-sized image of...
Jeffrey A. Fayman, Oded Sudarsky, Ehud Rivlin
CIVR
2007
Springer
227views Image Analysis» more  CIVR 2007»
14 years 3 months ago
Video parsing based on head tracking and face recognition
In this paper, we describe a fully automatic video retrieval prototype system that uses an image or a video sequence of an interested identity as probe. The system is based on fac...
Pengxu Li, Haizhou Ai, Yuan Li, Chang Huang