Title :
Task-Oriented Object Tracking in Large Distributed Camera Networks
Author :
Monari, Eduardo ; Kroschel, Kristian
Author_Institution :
Fraunhofer Inst. of Optronics, Syst. Technol. & Image Exploitation, Karlsruhe, Germany
fDate :
Aug. 29 2010-Sept. 1 2010
Abstract :
In this paper a task-oriented approach for object tracking in large distributed camera networks is presented. This work includes three main contributions. First a generic process framework is presented, which has been designed for task-oriented video processing. Second, system components of the task-oriented framework needed for the task of multi-camera person tracking are introduced in detail. Third, for an efficient task-oriented processing in large camera networks the capability of dynamic sensor scheduling by the multi-camera tracking processes is indispensable. For this purpose an efficient sensor selection approach is proposed.
Keywords :
cameras; object recognition; video signal processing; video surveillance; dynamic sensor scheduling; generic process; large distributed camera networks; multicamera person tracking; task oriented object tracking; task oriented video processing; Buildings; Cameras; Face; Feature extraction; Image color analysis; Pixel; Surveillance;
Conference_Titel :
Advanced Video and Signal Based Surveillance (AVSS), 2010 Seventh IEEE International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-8310-5
DOI :
10.1109/AVSS.2010.66
