Title
Object tracking in clutter and partial occlusion through rule-driven utilization of Snakes
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.
Year
DOI
Venue
2003
10.1109/ICME.2003.1221250
Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference
Keywords
Field
DocType
clutter,computer graphics,computer vision,motion estimation,object detection,video signal processing,MPEG-4,MPEG-7,Snake model,computer vision,moving object tracking,partial occlusion,rule-driven utilization,temporal clutter,video processing
Computer vision,Object detection,Video processing,Occlusion,Pattern recognition,Clutter,Computer science,Video tracking,Artificial intelligence,Probabilistic logic,Motion estimation,Computer graphics
Conference
Volume
ISBN
Citations 
3
0-7803-7965-9
3
PageRank 
References 
Authors
0.42
6
4
Name
Order
Citations
PageRank
Gabriel Tsechpenakis116014.47
Rapatzikos, K.230.42
N. Tsapatsoulis352468.68
Stefanos Kollias42268229.16