3rd International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom)

Research Article

A Surveillance Testbed with Networked Sensors for Integrated Target Inference

  • @INPROCEEDINGS{10.1109/TRIDENTCOM.2007.4444677,
        author={Ming Yang and Huimin Chen and Sowmya Bandarupalli and X. Rong Li},
        title={A Surveillance Testbed with Networked Sensors for Integrated Target Inference},
        proceedings={3rd International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom)},
        publisher={IEEE},
        proceedings_a={TRIDENTCOM},
        year={2008},
        month={2},
        keywords={},
        doi={10.1109/TRIDENTCOM.2007.4444677}
    }
    
  • Ming Yang
    Huimin Chen
    Sowmya Bandarupalli
    X. Rong Li
    Year: 2008
    A Surveillance Testbed with Networked Sensors for Integrated Target Inference
    TRIDENTCOM
    IEEE
    DOI: 10.1109/TRIDENTCOM.2007.4444677
Ming Yang1,*, Huimin Chen1,*, Sowmya Bandarupalli1,*, X. Rong Li1,*
  • 1: Department of Electrical Engineering, University of New Orleans, New Orleans, LA 70148 Phone: 504-280-7416,
*Contact email: myang2@uno.edu, hchen2@uno.edu, sbandaru@uno.edu, xli@uno.edu

Abstract

Target inference in surveillance systems includes target detection, localization, tracking, recognition, etc. Existing surveillance systems which consist of either non-mobile sensing devices or mobile wireless sensor nodes usually can not provide both a large coverage area and a high accuracy of target inference. In this paper, we present a surveillance testbed with networked sensors of both stationary and mobile types for the inference of moving targets in a region of interest. The testbed is intended to serve as a platform to perform integrated target inference for moving ground vehicles. Although the testbed can be used for multiple purposes, the joint decision and estimation (JDE) framework and its solution are particularly emphasized. The experimental study upon the testbed is trying to investigate the practical issues and factors involved in JDE framework with the application of moving vehicle detection and tracking. To combine data from sensors/processors of different types, fusion techniques with various practical constraints have to be implemented. We demonstrate the vehicle detection and tracking capability with multiple cameras and wireless sensors and point out several challenges in achieving persistent surveillance with high accuracy.