Object tracking using level set and MPEG 7 color features

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

Authors

Colleges, School and Institutes

Abstract

This paper investigates the use of a binary level set-based approach for tracking vehicles in video sequences captured by camera systems. A combination of color and segmentation features including background subtraction and connected component labeling will be incorporated into the level set-based framework to achieve the tracking. Next, the retrieval task with respect to a given user's request image is achieved using a set of similarity indices constructed through MPEG-7 color features; namely, color histogram, dominant color descriptor and color layout descriptor. The performances of the system are evaluated in terms of precision and recall evaluations.

Details

Original languageEnglish
Title of host publicationImage Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference
Publication statusPublished - Oct 2012
Event2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA) - Istanbul, Turkey, United Kingdom
Duration: 15 Oct 201218 Oct 2012

Conference

Conference2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)
CountryUnited Kingdom
Period15/10/1218/10/12