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» Object tracking: A survey
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AVSS
2006
IEEE
15 years 9 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
191
Voted
BMVC
1996
15 years 7 months ago
Spatial-Temporal Reasoning Based on Object Motion
This paper describes the continuing development of a system for tracking multiple man made objects, (typically vehicles) moving in a natural open world scene, where the detected m...
M. K. Teal, Tim J. Ellis
ICRA
2009
IEEE
173views Robotics» more  ICRA 2009»
16 years 17 days ago
Most salient region tracking
— In this paper, we introduce a cognitive approach for object tracking from a mobile platform. The approach is based on a biologically motivated attention system which is able to...
Simone Frintrop, Markus Kessel
173
Voted
BMVC
2010
15 years 4 months ago
On-line Adaption of Class-specific Codebooks for Instance Tracking
Off-line trained class-specific object detectors are designed to detect any instance of the class in a given image or video sequence. In the context of object tracking, however, o...
Juergen Gall, Nima Razavi, Luc J. Van Gool
180
Voted
ICIP
2004
IEEE
16 years 7 months ago
Robust shape based two hand tracker
This paper presents a robust shape-based on-line tracker for simultaneously tracking the motion of both hands, that is robust to cases of background clutter, other moving objects,...
Ketan Barhate, Kaustubh Patwardhan, Sumantra Dutta...