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» Multiple Object Tracking with Kernel Particle Filter
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IROS
2006
IEEE
145views Robotics» more  IROS 2006»
14 years 1 months ago
Panoramic Vision and Laser Range Finder Fusion for Multiple Person Tracking
– This paper describes a fusion of panoramic vision and laser range data to track multiple persons simultaneously from a stationary robot. Particle filters are used to track peop...
Punarjay Chakravarty, Ray Jarvis
ICIP
2009
IEEE
14 years 8 months ago
M2sir: A Multi Modal Sequential Importance Resampling Algorithm For Particle Filters
We present a multi modal sequential importance resampling particle filter algorithm for object tracking. We consider a hidden state sequence linked to several observation sequence...
ICASSP
2011
IEEE
12 years 11 months ago
Robust video object tracking based on multiple kernels with projected gradients
In kernel-based video object tracking, the use of single kernel often suffers from the occlusion. In order to provide more robust tracking performance, multiple inter-related kern...
Chun-Te Chu, Jenq-Neng Hwang, Hung-I. Pai, Kung-Mi...
ROBOCUP
2007
Springer
208views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
3D Tracking by Catadioptric Vision Based on Particle Filters
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
Matteo Taiana, José António Gaspar, ...
CVIU
2007
154views more  CVIU 2007»
13 years 7 months ago
Smart particle filtering for high-dimensional tracking
Tracking articulated structures like a hand or body within a reasonable time is challenging because of the high dimensionality of the state space. Recently, a new optimization met...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...