40 search results - page 4 / 8 » Kernel-Based Bayesian Filtering for Object Tracking |
ICRA
2006
IEEE
14 years 1 months ago
2006
IEEE
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
EVENT
2001
13 years 8 months ago
2001
Determining the occurrence of an event is fundamental to developing systems that can observe and react to them. Often, this determination is based on collecting video and/or audio...
CIRA
2007
IEEE
14 years 1 months ago
2007
IEEE
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We present an algorithm which can track the 3D pose of a hand held camera in real-time using predefined models of objects in the scene. The technique utilises and extends recently...
AVSS
2006
IEEE
13 years 11 months ago
2006
IEEE
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...