Spatial voting with data modeling for behavior based tracking and discrimination of human from fauna from GMTI radar tracks

Holger Jaenisch

doi:10.1117/12.914840

24 May 2012 Spatial voting with data modeling for behavior based tracking and discrimination of human from fauna from GMTI radar tracks

Holger Jaenisch

Author Affiliations +

Proceedings Volume 8388, Unattended Ground, Sea, and Air Sensor Technologies and Applications XIV; 83880E (2012) https://doi.org/10.1117/12.914840
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

We introduce a novel method of using ground track indicators in conjunction with our Spatial Voting (SV) algorithm and data fusing Data Models to distinguish target types from motion signatures alone. We simulate 3 different types of behaviors: rabbit, coyote, and human. We then apply SV to combine individual position reports obtained via radar track indicators into object tracks that are then characterized using the methods shown in this paper. The features obtained from this characterization are then used as input into a Data Model equation classifier or a look-up table classifier to label the track behavior as either rabbit, coyote, or human. Our results and methods show promise and are presented here.

Citation Download Citation

Holger Jaenisch "Spatial voting with data modeling for behavior based tracking and discrimination of human from fauna from GMTI radar tracks", Proc. SPIE 8388, Unattended Ground, Sea, and Air Sensor Technologies and Applications XIV, 83880E (24 May 2012); https://doi.org/10.1117/12.914840

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