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ICCV
2007
IEEE
16 years 9 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ICCV
2003
IEEE
16 years 9 months ago
A Caratheodory-Fejer Approach to Robust Multiframe Tracking
A requirement common to most dynamic vision applications is the ability to track objects in a sequence of frames. This problem has been extensively studied in the past few years, ...
Octavia I. Camps, Hwasup Lim, Cecilia Mazzaro, Mar...
182
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ECCV
2002
Springer
16 years 9 months ago
Color-Based Probabilistic Tracking
Color-based trackers recently proposed in [3,4,5] have been proved robust and versatile for a modest computational cost. They are especially appealing for tracking tasks where the ...
Carine Hue, Jaco Vermaak, Michel Gangnet, Patrick ...
VIS
2009
IEEE
205views Visualization» more  VIS 2009»
16 years 8 months ago
Time and Streak Surfaces for Flow Visualization in Large Time-Varying Data Sets
Time and streak surfaces are ideal tools to illustrate time-varying vector fields since they directly appeal to the intuition about coherently moving particles. However, efficient ...
Hari Krishnan, Christoph Garth, Kenneth I. Joy
ICPR
2006
IEEE
16 years 8 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong