Title :
An improved Mean Shift tracker with fast failure recovery strategy after complete occlusion
Author :
Di Caterina, Gaetano ; Soraghan, John J.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
fDate :
Aug. 30 2011-Sept. 2 2011
Abstract :
The effectiveness of the conventional Mean Shift tracking algorithm diminishes for fast moving targets and complete occlusion. In this paper an improved Mean Shift algorithm comprising a fast failure recovery strategy that aims to deal with randomly moving targets and complete occlusion as encountered in crowded scenes is presented. Experimental results show that after complete occlusion or target loss, the new algorithm can effectively recover and continue to successfully track targets in complex scenarios.
Keywords :
target tracking; video signal processing; complete occlusion; fast failure recovery strategy; fast moving targets; mean shift tracker; Color; Density functional theory; Histograms; Image color analysis; Kernel; Surveillance; Target tracking;
Conference_Titel :
Advanced Video and Signal-Based Surveillance (AVSS), 2011 8th IEEE International Conference on
Conference_Location :
Klagenfurt
Print_ISBN :
978-1-4577-0844-2
Electronic_ISBN :
978-1-4577-0843-5
DOI :
10.1109/AVSS.2011.6027307
