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» A Probabilistic Background Model for Tracking
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CVPR
2009
IEEE
14 years 5 months ago
Motion pattern interpretation and detection for tracking moving vehicles in airborne video
Detection and tracking of moving vehicles in airborne videos is a challenging problem. Many approaches have been proposed to improve motion segmentation on frameby-frame and pixel...
Gérard G. Medioni, Qian Yu
WACV
2008
IEEE
14 years 2 months ago
Tracking Down Under: Following the Satin Bowerbird
Sociobiologists collect huge volumes of video to study animal behavior (our collaborators work with 30,000 hours of video). The scale of these datasets demands the development of ...
Aniruddha Kembhavi, Ryan Farrell, Yuancheng Luo, D...
CVPR
2007
IEEE
14 years 2 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen
BMVC
2001
13 years 10 months ago
Classifying Surveillance Events from Attributes and Behaviour
In order to develop a high-level description of events unfolding in a typical surveillance scenario, each successfully tracked event must be classified into type and behaviour. I...
Paolo Remagnino, Graeme A. Jones
CVPR
2004
IEEE
14 years 9 months ago
Tracking Loose-Limbed People
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michae...