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» Using Histograms to Detect and Track Objects in Color Video
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ICIP
2003
IEEE
14 years 9 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis
ICPR
2002
IEEE
14 years 8 months ago
Using Normal Flow for Detection and Tracking of Limbs in Color Images
Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...
Zoran Duric, Fayin Li, Yan Sun, Harry Wechsler
ICPR
2006
IEEE
14 years 8 months ago
Detection-Assisted Initialization, Adaptation and Fusion of Body Region Trackers for Robust Multiperson Tracking
In this paper, we present a system for simultaneous tracking of multiple persons in a smartroom using multiple cameras. Robust person tracks are created, continuously adapted, and...
Keni Bernardin, Alexander Elbs, Rainer Stiefelhage...
ECCV
2004
Springer
14 years 9 months ago
Real-Time Tracking of Multiple Skin-Colored Objects with a Possibly Moving Camera
Abstract. This paper presents a method for tracking multiple skincolored objects in images acquired by a possibly moving camera. The proposed method encompasses a collection of tec...
Antonis A. Argyros, Manolis I. A. Lourakis
MM
2003
ACM
148views Multimedia» more  MM 2003»
14 years 28 days ago
Nonparametric color characterization using mean shift
Color is very useful in locating and recognizing objects that occur in artificial environments. The color histogram has shown its efficiency and advantages as a general tool for v...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu