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» Adaptive Background Estimation for Object Tracking
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ICRA
2006
IEEE
113views Robotics» more  ICRA 2006»
15 years 3 months ago
Integration of Dependent Bayesian Filters for Robust Tracking
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
MVA
2007
162views Computer Vision» more  MVA 2007»
14 years 9 months ago
Location-Based Tracking of Moving Obstacles from a Mobile Robot
Tracking moving obstacles from a moving platform is a useful skill for the coming generation of mobile robot. The methods used in existing moving objects tracking that operated fr...
Thatsaphan Suwannathat, Jun-ichi Imai, Masahide Ka...
CVPR
2007
IEEE
15 years 11 months ago
Tracking as Repeated Figure/Ground Segmentation
Tracking over a long period of time is challenging as the appearance, shape and scale of the object in question may vary. We propose a paradigm of tracking by repeatedly segmentin...
Xiaofeng Ren, Jitendra Malik
CVPR
2008
IEEE
15 years 11 months ago
Granularity and elasticity adaptation in visual tracking
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...
Ming Yang, Ying Wu
95
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ACIVS
2007
Springer
15 years 1 months ago
Joint Domain-Range Modeling of Dynamic Scenes with Adaptive Kernel Bandwidth
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...
Borislav Antic, Vladimir S. Crnojevic