Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/4032
Title: Object tracking in clutter and partial occlusion through rule-driven utilization of Snakes
Authors: Tsechpenakis, Gabriel 
Rapantzikos, Konstantinos 
Tsapatsoulis, Nicolas 
Kollias, Stefanos D. 
Keywords: Clutter;Computer graphics;Computer vision;Motion estimation
Category: Media and Communications
Field: Social Sciences
Issue Date: 2003
Publisher: IEEE
Source: International Conference on Multimedia and Expo,(ICME’03), 2003, Volume 3, pages 69-72, Baltimore, MD, USA.
Abstract: Efficient moving object tracking in cases of partial occlusion is a challenging task for the researchers in the fields of computer vision and video processing. In modern coding standards, like MPEG-4 and MPEG-7, the term of video objects is used to define moving objects in a video sequence. Automatic extraction of such objects is by no means trivial, and occlusion is one of the most important problems. This paper reformulates one of the most popular deformable templates for shape modeling and object tracking, the Snakes, in a probabilistic manner, in order to include providence for partial occlusion of the moving objects. Experiments of object tracking in partial occlusion, in complex natural sequences, where temporal clutter, abrupt motion and external lightning changes have been carried out, showing the efficiency of the proposed approach.
URI: http://ktisis.cut.ac.cy/handle/10488/4032
ISBN: 0-7803-7965-9
DOI: 10.1109/ICME.2003.1221250
Rights: © 2003, IEEE
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record

Page view(s)

15
Last Week
0
Last month
1
checked on Nov 24, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.