DocumentCode
456484
Title
A Hybrid Method for Robust Multiple Objects Tracking in Cluttered Background
Author
Akbari, Reza ; Jazi, Mohammad Davarpanah ; Palhang, Maziar
Author_Institution
Electr. & Comput. Eng. Dept., Isfahan Univ. of Technol.
Volume
1
fYear
0
fDate
0-0 0
Firstpage
1562
Lastpage
1567
Abstract
This work presents a robust and real-time algorithm for multi-object tracking in dynamic and cluttered scenes. This algorithm uses both region and object information to cope with multi object tracking issues. The rigid and non rigid objects tracked successfully by algorithm. Experimental results show that the algorithm have good performance in cluttered backgrounds even under splitting and occlusion situations
Keywords
object detection; target tracking; cluttered background; cluttered scenes; dynamic scenes; multiobject tracking; robust multiple objects tracking; Clustering algorithms; Image segmentation; Layout; Maintenance; Object recognition; Particle swarm optimization; Partitioning algorithms; Performance analysis; Robustness; Surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location
Damascus
Print_ISBN
0-7803-9521-2
Type
conf
DOI
10.1109/ICTTA.2006.1684616
Filename
1684616
Link To Document