Abstract
A general hierarchical particle filtering framework for designing an optimal proposal distribution is proposed. The essential idea is to augment a second filter's estimate into the proposal distribution design. Based on this framework,a novel algorithm for robust and efficient visual tracking is given. The algorithm using hierarchical particle filtering procedures at each level and can efficiently extract high-confidence regions through video frames by exploiting the temporal consistency of region confidences. Comparisons with the mean shift tracker and a generic particle filter shows the advantages and limitations of the new approach.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
