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» Robust evidence-based object tracking
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ICPR
2006
IEEE
15 years 3 months ago
A Pixel-wise Object Tracking Algorithm with Target and Background Sample
In this paper, we present a clustering-based tracking algorithm for non-rigid object. Non-rigid object tracking is a challenging task because the target often appears as a concave...
Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wa...
AMFG
2005
IEEE
218views Biometrics» more  AMFG 2005»
15 years 3 months ago
Online Feature Selection Using Mutual Information for Real-Time Multi-view Object Tracking
It has been shown that features can be selected adaptively for object tracking in changing environments [1]. We propose to use the variance of Mutual Information [2] for online fea...
Alex Po Leung, Shaogang Gong
WACV
2005
IEEE
15 years 3 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
AVSS
2008
IEEE
15 years 4 months ago
Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms
In this paper a new approach for detecting unattended or stolen objects in surveillance video is proposed. It is based on the fusion of evidence provided by three simple detectors...
Juan Carlos San Miguel, José María M...