Tracking Many Objects Using Subordinated CONDENSATION

D Tweed, A Calway

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Abstract

    We describe a novel extension to the CONDENSATION algorithm for tracking multiple objects of the same type. Previous extensions for multiple object tracking do not scale effectively to large numbers of objects. The new approach -- subordinated CONDENSATION -- deals effectively with arbitrary numbers of objects in an efficient manner, providing a robust means of tracking individual objects across heavily populated and cluttered scenes. The key innovation is the introduction of bindings (subordination) amongst particles which enables multiple occlusions to be handled in a natural way within the standard CONDENSATION framework. The effectiveness of the approach is demonstrated by tracking multiple animals of the same species in cluttered wildlife footage.
    Translated title of the contributionTracking Many Objects Using Subordinated CONDENSATION
    Original languageEnglish
    Title of host publicationUnknown
    EditorsPaul Rosin, David Marshall
    PublisherBMVA Press
    Pages283 - 292
    Number of pages9
    ISBN (Print)1901725197
    Publication statusPublished - Oct 2002

    Bibliographical note

    Conference Proceedings/Title of Journal: Proceedings of the British Machine Vision Conference

    Fingerprint

    Dive into the research topics of 'Tracking Many Objects Using Subordinated CONDENSATION'. Together they form a unique fingerprint.

    Cite this