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» Tracking Motion-Blurred Targets in Video
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MVA
2008
125views Computer Vision» more  MVA 2008»
13 years 8 months ago
Pearson-based mixture model for color object tracking
To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...
William Ketchantang, Stéphane Derrode, Lion...
ECCV
2010
Springer
14 years 16 days ago
Closed-loop Adaptation for Robust Tracking
Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degrade ...
CVPR
2007
IEEE
14 years 10 months ago
Kernel-based Tracking from a Probabilistic Viewpoint
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixel...
Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Sh...
CHI
2001
ACM
14 years 8 days ago
Automating camera management for lecture room environments
Given rapid improvements in network infrastructure and streaming-media technologies, a large number of corporations and universities are recording lectures and making them availab...
Qiong Liu, Yong Rui, Anoop Gupta, Jonathan J. Cadi...
ACCV
2009
Springer
14 years 3 months ago
Visual Saliency Based Object Tracking
Abstract. This paper presents a novel method of on-line object tracking with the static and motion saliency features extracted from the video frames locally, regionally and globall...
Geng Zhang, Zejian Yuan, Nanning Zheng, Xingdong S...