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Motion-based video object tracking in the compressed domain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationInternational Conference on Image Processing, San Antonio, TX
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages301 - 304
ISBN (Print)9781424414376
StatePublished - Sep 2007
EventInternational Conference on Image Processing - San Antonio, TX, United States


ConferenceInternational Conference on Image Processing
CountryUnited States
CitySan Antonio, TX
Period1/09/07 → …


In this paper an algorithm for real-time unsupervised segmentation and tracking of a moving object is proposed. This is performed within the compressed domain using motion information only. Initial object segmentation is done using iterative rejection, taking advantage of its computational efficiency. The system seeks to overcome its disadvantages, namely a delay in object macroblocks appearing after consistency checking and non-identification of macroblocks containing object boundaries, by taking a model based approach to object tracking. The output of iterative rejection is used to update the model after tracking has taken place in each frame. Experimental results on a number of MPEG-2 encoded sequences demonstrate its effectiveness in identifying and tracking an object of interest from a compressed video stream and that the system is better than purely using iterative rejection as a segmentation method

Additional information

Conference Proceedings/Title of Journal: IEEE International Conference on Image Processing, 2007 (ICIP 2007) Rose publication type: Conference contribution Terms of use: Copyright © 2007 IEEE. Reprinted from IEEE International Conference on Image Processing, 2007 (ICIP 2007). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting i

Research areas

  • compressed domain, object tracking


International Conference on Image Processing

Duration1 Sep 2007 → …
CitySan Antonio, TX
CountryUnited States

Event: Conference

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