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» An Adaptive Bayesian Technique for Tracking Multiple Objects
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ICCV
2011
IEEE
12 years 10 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
IBERAMIA
2010
Springer
13 years 8 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...
CVPR
2003
IEEE
15 years 2 days ago
A Bayesian Approach to Image-Based Visual Hull Reconstruction
We present a Bayesian approach to image-based visual hull reconstruction. The 3-D shape of an object of a known class is represented by sets of silhouette views simultaneously obs...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
ICIP
2006
IEEE
14 years 11 months ago
Efficient Object-Based Video Inpainting
Video inpainting is the process of repairing missing regions (holes) in videos. Most automatic techniques are computationally intensive and unable to repair large holes. To tackle...
Sen-Ching S. Cheung, Jian Zhao, M. Vijay Venkatesh
ECRTS
2006
IEEE
14 years 4 months ago
Hierarchical Control of Multiple Resources in Distributed Real-time and Embedded Systems
There is an increasing demand to introduce adaptive capabilities in distributed real-time and embedded (DRE) systems that execute in open environments where system operational con...
Nishanth Shankaran, Xenofon D. Koutsoukos, Douglas...