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» Tracking Discontinuous Motion Using Bayesian Inference
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AVSS
2007
IEEE
15 years 4 months ago
Using social effects to guide tracking in complex scenes
This paper presents a new methodology for improving the tracking of multiple targets in complex scenes. The new method, Motion Parameter Sharing, incorporates social motion inform...
Andrew French, Asad Naeem, Ian L. Dryden, Tony P. ...
EVENT
2001
140views more  EVENT 2001»
14 years 11 months ago
Multimodal 3-D Tracking and Event Detection via the Particle Filter
Determining the occurrence of an event is fundamental to developing systems that can observe and react to them. Often, this determination is based on collecting video and/or audio...
Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davi...
75
Voted
ICCV
2005
IEEE
15 years 11 months ago
A Stochastic Filter for Fluid Motion Tracking
In this paper we present a method for the tracking of fluid flows velocity fields. The technique we propose is formalized within sequential Bayesian filter framework. The filter w...
Anne Cuzol, Étienne Mémin
DICTA
2009
14 years 10 months ago
Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
Abstract--Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segmen...
Simon Denman, Clinton Fookes, Sridha Sridharan
CVPR
2008
IEEE
15 years 11 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...