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» Probabilistic Object Tracking Using Multiple Features
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CVPR
2010
IEEE
14 years 27 days ago
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
Bineng Zhong, Hongxun Yao, Sheng Chen, Xiaotong Yu...
TIP
2008
125views more  TIP 2008»
13 years 7 months ago
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
Junqiu Wang, Yasushi Yagi
PAMI
2006
182views more  PAMI 2006»
13 years 7 months ago
Multicue HMM-UKF for Real-Time Contour Tracking
We propose an HMM model for contour detection based on multiple visual cues in spatial domain and improve it by joint probabilistic matching to reduce background clutter. It is fu...
Yunqiang Chen, Yong Rui, Thomas S. Huang
CVPR
2008
IEEE
14 years 2 months ago
Fuzzy chamfer distance and its probabilistic formulation for visual tracking
The paper presents a fuzzy chamfer distance and its probabilistic formulation for edge-based visual tracking. First, connections of the chamfer distance and the Hausdorff distance...
Yonggang Jin, Farzin Mokhtarian, Miroslaw Bober, J...
ICASSP
2008
IEEE
14 years 2 months ago
Multi-feature vector flow for active contour tracking
In order to achieve both fast tracking and accurate object extraction, we present in this paper an original real-time active contour method, incorporating different feature maps i...
Joanna I. Olszewska, Christophe De Vleeschouwer, B...