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» Using Histograms to Detect and Track Objects in Color Video
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CVPR
2007
IEEE
16 years 5 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
14 years 7 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
16 years 5 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»
15 years 4 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
16 years 4 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...