DocumentCode :
3124690
Title :
A Visual Tracking Algorithm for Real Time People Detection
Author :
D´Orazio, T. ; Leo, M. ; Spagnolo, P. ; Mazzeo, P.L. ; Mosca, N. ; Nitti, M.
Author_Institution :
C.N.R., Bari
fYear :
2007
fDate :
6-8 June 2007
Firstpage :
34
Lastpage :
34
Abstract :
In this paper we present a multi-people-tracking algorithm which is able to detect and track humans in complex situations with varying light conditions, high frame rate, and real time processing. We propose a stochastic approach for foreground people tracking based on the evaluation of the maximum a posteriori probability (MAP). The algorithm evaluates geometrical information on the blob overlapping and does not require the feature extraction to track the single object. Experimental tests have been carried out on soccer image sequence in which some players enter into the camera view and remain for some time.
Keywords :
maximum likelihood estimation; object detection; probability; stochastic processes; tracking; blob overlapping; maximum a posteriori probability; real time people detection; stochastic approach; visual tracking algorithm; Algorithm design and analysis; Cameras; Feature extraction; Humans; Image analysis; Image sequences; Intelligent systems; Layout; Robustness; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis for Multimedia Interactive Services, 2007. WIAMIS '07. Eighth International Workshop on
Conference_Location :
Santorini
Print_ISBN :
0-7695-2818-X
Electronic_ISBN :
0-7695-2818-X
Type :
conf
DOI :
10.1109/WIAMIS.2007.14
Filename :
4279142
Link To Document :
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