University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Video object tracking via central macro-blocks and directional vectors

Zhang, B, Jiang, J and Xiao, G (2007) Video object tracking via central macro-blocks and directional vectors Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4633 L. pp. 593-601.

Full text not available from this repository.

Abstract

While existing video object tracking is sensitive to the accuracy of object segmentation, we propose a central point based algorithm in this paper to allow inaccurately segmented objects to be tracked inside video sequences. Since object segmentation remains to be a challenge without any robust solution to date, we apply a region-grow technique to further divide the initially segmented object into regions, and then extract a central point within each region. A macro-block is formulated via the extracted central point, and the object tracking is carried out through such centralized macroblocks and their directional vectors. As the size of the macroblock is often much smaller than the segmented object region, the proposed algorithm is tolerant to the inaccuracy of object segmentation. Experiments carried out show that the proposed algorithm works well in tracking video objects measured by both efficiency and effectiveness. © Springer-Verlag Berlin Heidelberg 2007.

Item Type: Article
Authors :
NameEmailORCID
Zhang, BUNSPECIFIEDUNSPECIFIED
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Xiao, GUNSPECIFIEDUNSPECIFIED
Date : 1 December 2007
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:24
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835205

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800