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» A New Method for Auto-calibrated Object Tracking
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CVPR
2005
IEEE
14 years 9 months ago
A Statistical Field Model for Pedestrian Detection
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
Ying Wu, Ting Yu, Gang Hua
ICCV
2003
IEEE
14 years 9 months ago
Maintaining Multi-Modality through Mixture Tracking
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
Arnaud Doucet, Jaco Vermaak, Patrick Pérez
HUMO
2007
Springer
13 years 9 months ago
Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
Daniel Grest, Volker Krüger
ICCV
2003
IEEE
14 years 9 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
ICASSP
2010
IEEE
13 years 7 months ago
Song-level multi-pitch tracking by heavily constrained clustering
Given a set of monophonic, harmonic sound sources (e.g. human voices or wind instruments), multi-pitch estimation (MPE) is the task of determining the instantaneous pitches of eac...
Zhiyao Duan, Jinyu Han, Bryan Pardo