A Hybrid Method for Robust Multiple Objects Tracking in Cluttered Background

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 sho...

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Bibliographic Details
Published in2006 2nd International Conference on Information & Communication Technologies Vol. 1; pp. 1562 - 1567
Main Authors Akbari, R., Jazi, M.D., Palhang, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Clustering algorithms
Image segmentation
Layout
Maintenance
Object recognition
Particle swarm optimization
Partitioning algorithms
Performance analysis
Robustness
Surveillance
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Summary: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
ISBN:9780780395213
0780395212
DOI:10.1109/ICTTA.2006.1684616