DocumentCode :
1783011
Title :
The PTZ tracking algorithms evaluation virtual platform system
Author :
Chang Liu ; Ruipeng Cao ; Sa Jia ; Yanan Zhang ; Bo Wang ; Qingjie Zhao
Author_Institution :
Sch. of Comput. Sci., Beijing Inst. of Technol., Beijing, China
fYear :
2014
fDate :
28-29 Sept. 2014
Firstpage :
1
Lastpage :
6
Abstract :
With the development of the close relationship between the tracking moving object algorithms and the monitoring system, PTZ (Pan-Tilt-Zoom) cameras become more powerful in offering requested images than platform-lens ones. How to choose the perfectly suitable algorithm turns out to be the main issue which people concern about. In this paper, we propose a virtual platform system, working as a PTZ camera, in which allows a variety of algorithms test their performances. Under the same platform system with the identical environment, the final resultant data given by the system seems more valuable to refer, which can be the basis of the right choice among a collection of algorithms.
Keywords :
cameras; object tracking; virtual reality; PTZ tracking algorithm evaluation; object tracking algorithms; pan-tilt-zoom camera; virtual platform system; Cameras; Image coding; Image generation; Standards; Streaming media; Target tracking; PTZ cameras; active tracking; evaluation of algorithms; virtual platform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6731-5
Type :
conf
DOI :
10.1109/MFI.2014.6997643
Filename :
6997643
Link To Document :
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