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Proceedings Paper

Energy saving in joint acoustic-video target detection and tracking
Author(s): Shuqun Zhang; Galathara Ananda Kahanda
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Paper Abstract

Fusing acoustic and visual data has the potential to significantly improve target tracking performance by exploiting the complementary and redundant information. However, it is not clear how to efficiently fuse these two modalities and how to reduce the high energy consumption of video sensors to improve network lifespan. High energy requirement of video sensors is mainly due to the high sample acquisition cost and high computational complexity of target detection algorithms. We address the computation energy by performing target detection in a region-ofinterest and studying target detection algorithms' computational complexity and data fusion architecture. Some strategies are proposed to help video sensors in performing target detection and reducing the power consumption by incorporating the acoustic detection result. We study two widely used target detection algorithms, background subtraction and snake, for their use in joint acoustic-video tracking, and analyze their computational complexities and memory requirements. We hope that the analysis can effectively guide the designer to select the most suitable algorithm and architecture for a given scenario or application.

Paper Details

Date Published: 11 May 2007
PDF: 8 pages
Proc. SPIE 6562, Unattended Ground, Sea, and Air Sensor Technologies and Applications IX, 65620G (11 May 2007); doi: 10.1117/12.723461
Show Author Affiliations
Shuqun Zhang, College of Staten Island, CUNY (United States)
Galathara Ananda Kahanda, College of Staten Island, CUNY (United States)

Published in SPIE Proceedings Vol. 6562:
Unattended Ground, Sea, and Air Sensor Technologies and Applications IX
Edward M. Carapezza, Editor(s)

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