Title :
An audio-visual sensor fusion approach for feature based vehicle identification
Author :
Klausner, Andreas ; Tengg, Allan ; Leistner, Christian ; Erb, Stefan ; Rinner, Bernhard
Author_Institution :
Graz Univ. of Technol., Graz
Abstract :
In this article we present our software framework for embedded online data fusion, called I-SENSE. We discuss the fusion model and the decision modeling approach using support vector machines. Due to the system complexity and the genetic approach a data oriented model is introduced. The main focus of the article is targeted at our techniques for extracting features of acoustic-and visual-data. Experimental results of our "traffic surveillance" case study demonstrate the feasibility of our multi-level data fusion approach.
Keywords :
computer vision; feature extraction; road traffic; sensor fusion; traffic engineering computing; I-SENSE; acoustic feature extraction; audio-visual sensor fusion; decision modeling; embedded online data fusion; feature based vehicle identification; fusion model; genetic approach; multilevel data fusion; support vector machines; traffic surveillance; visual feature extraction; Computer architecture; Data mining; Embedded software; Feature extraction; Genetics; Informatics; Sensor fusion; Support vector machines; Surveillance; Vehicles;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-1696-7
Electronic_ISBN :
978-1-4244-1696-7
DOI :
10.1109/AVSS.2007.4425295
