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Proceedings Paper

A cost-effective and open mobile sensor platform for networked surveillance
Author(s): Gang Li; Jianhao Du; Chun Zhu; Weihua Sheng
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Paper Abstract

In this paper, a compact, low-cost and open mobile sensor platform consisting of multiple ASCCbots for networked surveillance is presented. This platform is based on commercial off-the-shelf components and open source software. Compared to existing research platforms, our platform is reliable, reconfigurable and easy to duplicate. We develop novel algorithms for object detection on ASCCbot. Due to the distributed computing nature of the platform, we also conduct collaborative target localization, which is realized by fusing the data from omnidirectional camera, laser range finder and sensor pose estimation. The performance of the mobile surveillance system is evaluated through experiments. The results from the experiments prove that the proposed platform is a promising tool for networked surveillance research and practice.

Paper Details

Date Published: 17 September 2011
PDF: 11 pages
Proc. SPIE 8137, Signal and Data Processing of Small Targets 2011, 813713 (17 September 2011); doi: 10.1117/12.895520
Show Author Affiliations
Gang Li, Oklahoma State Univ. (United States)
Jianhao Du, Oklahoma State Univ. (United States)
Chun Zhu, Oklahoma State Univ. (United States)
Weihua Sheng, Oklahoma State Univ. (United States)


Published in SPIE Proceedings Vol. 8137:
Signal and Data Processing of Small Targets 2011
Oliver E. Drummond, Editor(s)

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