Title :
Commentary Paper 1 on "A Probabilistic Bayesian Framework for Model-Based Object Tracking Using Undecimated Wavelet Packet Descriptors"
Author_Institution :
Object Video, Reston, VA, USA
Abstract :
This paper presents a very good approach for tracking through occlusion by applying a probabilistic model to tracking features on an object. The authors present that the method works well even through partial occlusions.
Keywords :
computer vision; object detection; computer vision; features tracking; model-based object tracking; undecimated wavelet packet descriptors; Bayesian methods; Filtering; Pain; Particle tracking; Surveillance; Target tracking; Technological innovation; Videoconference; Voting; Wavelet packets;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2008. AVSS '08. IEEE Fifth International Conference on
Conference_Location :
Santa Fe, NM
Print_ISBN :
978-0-7695-3341-4
Electronic_ISBN :
978-0-7695-3422-0
DOI :
10.1109/AVSS.2008.44
