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CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
14 years 3 months ago
Particle filtering using multiple cross-correlations for tracking occluded objects in cluttered scenes
— This paper is concerned with the tracking of partially or entirely occluded objects in a video sequence. We propose certain modifications to the template matching approach, whi...
Arie Nakhmani, Allen Tannenbaum
ECCV
2010
Springer
13 years 8 months ago
Multiple Target Tracking in World Coordinate with Single, Minimally Calibrated Camera
Tracking multiple objects is important in many application domains. We propose a novel algorithm for multi-object tracking that is capable of working under very challenging conditi...
Wongun Choi, Silvio Savarese
ICMI
2005
Springer
201views Biometrics» more  ICMI 2005»
14 years 2 months ago
A joint particle filter for audio-visual speaker tracking
In this paper, we present a novel approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a jo...
Kai Nickel, Tobias Gehrig, Rainer Stiefelhagen, Jo...
MVA
2007
169views Computer Vision» more  MVA 2007»
13 years 10 months ago
Human Tracking Based on Particle Filter in Outdoor Scene
In this paper, we propose the object tracking method based on color histograms and particle filtering. Particle filtering is a time series filter for estimating a state using prob...
Mototsugu Muroi, Heitoh Zen
ICCV
2001
IEEE
14 years 10 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black