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» Robust Head Tracking Based on a Multi-State Particle Filter
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ICPR
2008
IEEE
14 years 2 months ago
Modulation-domain particle filter for template tracking
Particle filters provide a robust framework for nonlinear and non-Gaussian estimation problems. In this paper, we present a method to incorporate dominant modulation-domain (Ampl...
R. Senthil Prakash, Rangarajan Aravind
DICTA
2003
13 years 9 months ago
Probabilistic Multiple Cue Integration for Particle Filter Based Tracking
Robust visual tracking has become an important topic in the field of computer vision. The integration of cues such as color, edge strength and motion has proved to be a promising ...
Chunhua Shen, Anton van den Hengel, Anthony R. Dic...
VMV
2008
168views Visualization» more  VMV 2008»
13 years 9 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
CVPR
2005
IEEE
14 years 9 months ago
Multiple Object Tracking with Kernel Particle Filter
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar
CVPR
2009
IEEE
15 years 2 months ago
Memory-based particle filter for face pose tracking robust under complex dynamics
A novel particle filter, the Memory-based Particle Filter (M-PF), is proposed that can visually track moving objects that have complex dynamics. We aim to realize robustness aga...
Dan Mikami (NTT), Kazuhiro Otsuka (NTT), Junji YAM...