DocumentCode
263785
Title
Fusion of three techniques for person detection in real time
Author
Boukamcha, Hamdi ; Mohamed, Amr
Author_Institution
EME Lab., Univ. of Monastir, Monastir, Tunisia
fYear
2014
fDate
17-19 Jan. 2014
Firstpage
1
Lastpage
6
Abstract
The present paper is a new technique for the detection of persons, with combination of the three approaches (Adaptive Gaussian Mixture, Objects Classification, and Stereo Vision) with the integration of the multithreaded architecture. The study and validation at high-level of these descriptors was used to determinate the advantages and drawbacks of each approach. Several tests were made to evaluate the precision, execution time, complexity and sensitivity to different situations.
Keywords
Gaussian processes; image classification; mixture models; multi-threading; object detection; stereo image processing; adaptive Gaussian mixture; multithreaded architecture; objects classification; person detection; real time; stereo vision; technique fusion; Cameras; Classification algorithms; Instruction sets; Mobile communication; Stereo vision; Streaming media; Three-dimensional displays; Multi-threading; Person Detection; Stereo Vision; background-difference; classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Applications and Information Systems (WCCAIS), 2014 World Congress on
Conference_Location
Hammamet
Print_ISBN
978-1-4799-3350-1
Type
conf
DOI
10.1109/WCCAIS.2014.6916573
Filename
6916573
Link To Document