Self-organizing cooperative sensor network for remote surveillance: improved target tracking results

Richard A. Burne; Ivan Kadar; John C. Whitson; Anna L. Buczak

doi:10.1117/12.417546

21 February 2001 Self-organizing cooperative sensor network for remote surveillance: improved target tracking results

Richard A. Burne, Ivan Kadar, John C. Whitson, Anna L. Buczak

Proceedings Volume 4232, Enabling Technologies for Law Enforcement and Security; (2001) https://doi.org/10.1117/12.417546
Event: Enabling Technologies for Law Enforcement, 2000, Boston, MA, United States

Abstract

The current trend to develop low cost, miniature unattended ground sensors will enable a cost-effective, covert means for surveillance in both urban and remote border areas. Whereas the functionality (e.g., sensing range and life in the field) of these smaller UGS (i.e., acoustic, seismic, magnetic, chemical or biological) may be limited due to size and cost constraints, a network of these sensors working cooperatively together can provide an effective surveillance capability. A key factor is the ability of these sensors to work cooperatively to achieve a `collective' functionality that can meet the surveillance objective. This paper describes results of using target identification (ID) features (i.e., the ID feature space of the target) to improve the tracking of closely spaced targets (i.e., the kinematic space of the targets). A Multiple Level Identification (MLID) approach was used to determine and maintain confidences for multiple target identifications for each target. These confidences were incorporated into the processing of kinematic data (i.e., target bearing reports) to improve the tracker's estimated position of the target's location. Results describing the effectiveness of using MLID on target tracking performance are reported using simulated target trajectory and ID data.

Citation Download Citation

Richard A. Burne, Ivan Kadar, John C. Whitson, and Anna L. Buczak "Self-organizing cooperative sensor network for remote surveillance: improved target tracking results", Proc. SPIE 4232, Enabling Technologies for Law Enforcement and Security, (21 February 2001); https://doi.org/10.1117/12.417546

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