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» Adaptive appearance learning for visual object tracking
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AVSS
2006
IEEE
13 years 11 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
ICPR
2006
IEEE
14 years 1 months ago
A Pixel-wise Object Tracking Algorithm with Target and Background Sample
In this paper, we present a clustering-based tracking algorithm for non-rigid object. Non-rigid object tracking is a challenging task because the target often appears as a concave...
Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wa...
FLAIRS
2010
13 years 10 months ago
Learning to Identify and Track Imaginary Objects Implied by Gestures
A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the "...
Andreya Piplica, Alexandra Olivier, Allison Petros...
ICPR
2006
IEEE
14 years 8 months ago
Audio-Visual Speaker Localization Using Graphical Models
In this work we propose an approach to combine audio and video modalities for person tracking using graphical models. We demonstrate a principled and intuitive framework for combi...
Akash Kushal, Mandar Rahurkar, Fei-Fei Li 0002, Je...
MVA
1998
119views Computer Vision» more  MVA 1998»
13 years 9 months ago
Integrated Techniques for Self-Organisation, Sampling, Habituation, and Motion-Tracking in Visual Robotics Applications
We summarise several techniques in use in our visual robotics research. Our aim is to develop robots that are thoroughly autonomous and adaptable. We describe a system that is ind...
Mark W. Peters, Arcot Sowmya