DocumentCode
2515027
Title
Sensor Fusion for Cooperative Head Localization
Author
Del Bimbo, Alberto ; Dini, Fabrizio ; Lisanti, Giuseppe ; Pernici, Federico
Author_Institution
Univ. of Florence, Florence, Italy
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
384
Lastpage
387
Abstract
In modern video surveillance systems, pan-tilt-zoom (PTZ) cameras certainly have the potential to allow the coverage of wide areas with a much smaller number of sensors, compared to the common approach of fixed camera networks. This paper describes a general framework that aims at exploiting the capabilities of modern PTZ cameras in order to acquire high resolution images of body parts, such as the head, from the observation of pedestrians moving in a wide outdoor area. The framework allows to organize the sensors in a network with arbitrary topology, and to establish pairwise master-slave relationship between them. In this way a slave camera can be steered to acquire imagery of a target keeping into account both target and zooming uncertainties. Experiments show good performance in localizing target´s head, independently from the zooming factor of the slave camera.
Keywords
cameras; image resolution; sensor fusion; topology; video surveillance; PTZ cameras; arbitrary topology; body parts; cooperative head localization; fixed camera networks; high resolution images; pairwise master-slave relationship; pan-tilt-zoom cameras; pedestrians moving; sensor fusion; slave camera; video surveillance systems; zooming factor; Calibration; Cameras; Computer vision; Feature extraction; Head; Target tracking; Visualization; Camera Network; Master; PTZ Camera; Particle Filter; Slave; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.102
Filename
5597812
Link To Document