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ICIP
2008
IEEE
13 years 11 months ago
Boosted Interactively Distributed Particle Filter for automatic multi-object tracking
In this paper, we propose a Boosted Interactively Distributed Particle Filter (BIDPF) to address the problem of automatic multi-object tracking in the application of player tracki...
Yi Wu, Xiaofeng Tong, Yimin Zhang, Hanqing Lu
VMV
2008
168views Visualization» more  VMV 2008»
13 years 6 months ago
Integrating robust likelihoods with Monte-Carlo filters for multi-target tracking
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
Giorgio Panin, Thorsten Röder, Alois Knoll
ICIP
2009
IEEE
14 years 6 months ago
Rapid And Robust Human Detection And Tracking Based On Omega-shape Features
This paper proposes a novel method for rapid and robust human detection and tracking based on the omega-shape features of people's head-shoulder parts. There are two modules ...
CVPR
2009
IEEE
13 years 9 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
ICASSP
2010
IEEE
13 years 5 months ago
Multi-object filtering from image sequence without detection
Almost every single-view visual multi-target tracking method presented in the literature includes a detection routine that maps the image data to point measurements relevant to th...
Reza Hoseinnezhad, Ba-Ngu Vo, David Suter, Ba-Tuon...