Multiple Visual-Targets Tracking in Decentralized Wireless Camera Sensor Networks Conference Paper

abstract

• To track 3-dimensional multiple visual-targets states, we develop the decentralized Wireless Camera Sensor Network (WCSN) and the corresponding data fusion scheme. In our proposed scheme, each activated camera sensor-node obtains the local encoded 2-dimensional observation of the visual-targets' states and sends it to the global fusion center. This global fusion center processes the local information and provide the 3-dimensional estimation of the multiple visual-target states. We also propose the distributed visual-PHD (Probability Hypothesis Density) filtering algorithm which can be used to detect the mobile visual-targets' random appearance and disappearance in the clutter environments with high accuracy and low computational complexity. The performance analyses validates and evaluates our proposed distributed visual-PHD filtering algorithm and the data fusion scheme for the decentralized WCSN in terms of the multiple visual-target states estimation accuracy and the robustness to the interference/noise. 2010 IEEE.

name of conference

• 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE

authors

• Zhang, Xi

published proceedings

• MILITARY COMMUNICATIONS CONFERENCE, 2010 (MILCOM 2010)

author list (cited authors)

• Zhang, X. i.

citation count

• 0

complete list of authors

• Zhang, Xi

publication date

• January 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• n2155-7578ISSN  Journal

keywords

• Data Fusion
• Decentralized Wireless Camera Sensor Network (wcsn)
• Distributed Visual-probability Hypothesis Density (phd) Filtering Algorithm
• Multiple Visual-target Tracking

Digital Object Identifier (DOI)

• 10.1109/milcom.2010.5679523

International Standard Book Number (ISBN) 13

• 9781424481804

start page

• 1056

end page

• 1061

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fmilcom.2010.5679523