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» Probabilistic Object Tracking Using Multiple Features
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PAMI
2010
248views more  PAMI 2010»
13 years 7 months ago
Coupled Prediction Classification for Robust Visual Tracking
—This paper addresses the problem of robust template tracking in image sequences. Our work falls within the discriminative framework in which the observations at each frame yield...
Ioannis Patras, Edwin R. Hancock
MVA
2002
186views Computer Vision» more  MVA 2002»
13 years 8 months ago
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
Masafumi Tominaga, Hitoshi Hongo, Hiroyasu Koshimi...
AINA
2006
IEEE
14 years 3 months ago
Combinatorial Fusion Criteria for Real-Time Tracking
We address the problem of automated video tracking of targets when targets undergo multiple mutual occlusions. Our approach is based on the idea that as targets are occluded, sele...
D. Frank Hsu, Damian M. Lyons, Jizhou Ai
ICIP
2005
IEEE
14 years 2 months ago
Silhouette-based probabilistic 2D human motion estimation for real-time applications
This paper presents a novel technique for 2D human motion estimation using a single non calibrated camera. The user’s five crucial human features (head, hands and feet) are ext...
Pedro Correa, Jacek Czyz, Toshiyuki Umeda, Ferran ...
AOSD
2010
ACM
14 years 3 months ago
Tracking code patterns over multiple software versions with Herodotos
An important element of understanding a software code base is to identify the repetitive patterns of code it contains and how these evolve over time. Some patterns are useful to t...
Nicolas Palix, Julia L. Lawall, Gilles Muller