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ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach
CVPR
2005
IEEE
14 years 6 months ago
Using Particles to Track Varying Numbers of Interacting People
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez
ICCV
2009
IEEE
1068views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Illumination Aware MCMC Particle Filter for Long-Term Outdoor Multi-Object Simultaneous Tracking and Classification
This paper addresses real-time automatic visual tracking, labeling and classification of a variable number of objects such as pedestrians or/and vehicles, under timevarying illu...
Franc¸ois Bardet, Thierry Chateau, Datta Ramadasa...
CVPR
2007
IEEE
14 years 6 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
CVPR
2011
IEEE
13 years 2 months ago
Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes