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» Using Histograms to Detect and Track Objects in Color Video
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CVPR
2007
IEEE
14 years 9 months ago
Optimizing Distribution-based Matching by Random Subsampling
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...
Alex Po Leung, Shaogang Gong
ICASSP
2011
IEEE
12 years 11 months ago
Video object tracking with differential Structural SIMilarity index
The Structural SIMilarity Measure (SSIM) combined with the sequential Monte Carlo approach has been shown [1] to achieve more reliable video object tracking performance, compared ...
Artur Loza, Fanglin Wang, Jie Yang, Lyudmila Mihay...
CVPR
1998
IEEE
14 years 9 months ago
Integrated Person Tracking Using Stereo, Color, and Pattern Detection
We present an approach to real-time person tracking in crowded and/or unknown environments using multi-modal integration. We combine stereo, color, and face detection modules into...
Trevor Darrell, Gaile G. Gordon, Michael Harville,...
WSCG
2004
153views more  WSCG 2004»
13 years 9 months ago
A New Algorithm for Adding Color to Video or Animation Clips
Colorizing grayscale video is a useful technique in scientific computing visualization and entertainment. In this paper, we introduce a method to transfer color from a reference i...
Zhigeng Pan, Zhaohua Dong, Mingmin Zhang
ICPR
2002
IEEE
14 years 8 months ago
Tracking Hands and Objects for an Intelligent Video Production System
We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple ...
Motoyuki Ozeki, Masatsugu Itoh, Yuichi Nakamura, Y...