Video object tracking using region split and merge and a Kalman filter tracking algorithm

SA Vigus, DR Bull, CN Canagarajah

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

14 Citations (Scopus)
400 Downloads (Pure)


This paper proposes a reliable method for tracking the trajectory of video objects using the vector Kalman predictor. Video objects, within the scope of this paper, are defined as groups of image pixels coherent spatially as well as in their values of luminance. The extent to which the quality of the unsupervised region split and merge segmentation affects the accuracy of the tracker is discussed, alongside the improvements made in the segmentation process as a result of the feedback from the tracking algorithm. The overall low complexity of the system, and the time savings made in using a spiral search algorithm, provide this method with prospects of being implemented in real-time.
Translated title of the contributionVideo object tracking using region split and merge and a Kalman Filter tracking algorithm
Original languageEnglish
Title of host publicationIEEE Intl. Conf on Image Processing
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages650 - 653
ISBN (Print)0780367251
Publication statusPublished - Oct 2001
EventInternational Conference on Image Processing - Thessaloniki, Greece
Duration: 1 Oct 2001 → …


ConferenceInternational Conference on Image Processing
Period1/10/01 → …

Bibliographical note

Other: Thessaloniki, Greece
Rose publication type: Conference contribution

Terms of use: Copyright © 2001 IEEE. Reprinted from 2001 International Conference on Image Processing, 2001.

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