Title :
Tracking Articulating Objects from Ground Vehicles using Mixtures of Mixtures
Author :
Abd-Almageed, Wael ; Hussein, Mohamed ; Davis, Larry
Author_Institution :
Inst. for Adv. Comput. Studies, Maryland Univ., College Park, MD
Abstract :
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
Keywords :
remotely operated vehicles; robot vision; articulating objects tracking; egomotion information; mixtures of mixtures; particle filter; unmanned ground vehicle; Application software; Cameras; Histograms; Humans; Image segmentation; Land vehicles; Motion estimation; Particle filters; Particle tracking; Video sequences;
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0258-1
Electronic_ISBN :
1-4244-0259-X
DOI :
10.1109/IROS.2006.281881
