Tracking Articulating Objects from Ground Vehicles using Mixtures of Mixtures

An algorithm for tracking articulating objects from moving camera platforms is presented. Mixtures of mixtures are used to model the appearance of the object and the background. The state of the object is tracked using a particle filter. Egomotion information are estimated and used to set the state...

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Bibliographic Details
Main Authors: Abd-Almageed, W., Hussein, M., Davis, L.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Cameras
Histograms
Humans
Image segmentation
Land vehicles
Motion estimation
Particle filters
Particle tracking
Video sequences
Online Access:Request full text
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Description
Summary:An algorithm for tracking articulating objects from moving camera platforms is presented. Mixtures of mixtures are used to model the appearance of the object and the background. The state of the object is tracked using a particle filter. Egomotion information are estimated and used to set the state variance of the particle filter. Results of tracking human objects from an unmanned ground vehicle are used to evaluate the tracking algorithm
ISSN:2153-0858
2153-0866
DOI:10.1109/IROS.2006.281881