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» Bayesian Object Detection in Dynamic Scenes
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ICMCS
2009
IEEE
219views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Moving targets labeling and correspondence over multi-camera surveillance system based on Markov network
In this paper, we propose an efficient way to simultaneously label and map targets over a multi-camera surveillance system. In the system, we first fuse the detection results from...
Chingchun Huang, Sheng-Jyh Wang
ICCV
2005
IEEE
14 years 2 months ago
Closely Coupled Object Detection and Segmentation
We propose a closely coupled object detection and segmentation algorithm for enhancing both processes in a cooperative and iterative manner. Figure-ground segmentation reduces the...
Liang Zhao, Larry S. Davis
ICIP
2008
IEEE
14 years 3 months ago
Dynamic background modeling and subtraction using spatio-temporal local binary patterns
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...
Shengping Zhang, Hongxun Yao, Shaohui Liu
CVPR
2011
IEEE
13 years 4 months ago
A generative model for 3D urban scene understanding from movable platforms
3D scene understanding is key for the success of applications such as autonomous driving and robot navigation. However, existing approaches either produce a mild level of understa...
Andreas Geiger, Martin Lauer, Raquel Urtasun
IBERAMIA
2010
Springer
13 years 7 months ago
Detection of Multiple People by a Mobile Robot in Dynamic Indoor Environments
Detection of multiple people is a key element for social robot design and it is a requirement for effective human-robot interaction. However, it is not an easy task, especially in...
José Alberto Méndez-Polanco, Ang&eac...