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Proceedings Paper

Spatial voting with data modeling for behavior based tracking and discrimination of human from fauna from GMTI radar tracks
Author(s): Holger Jaenisch
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Paper 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.

Paper Details

Date Published: 25 May 2012
PDF: 16 pages
Proc. SPIE 8388, Unattended Ground, Sea, and Air Sensor Technologies and Applications XIV, 83880E (25 May 2012); doi: 10.1117/12.914840
Show Author Affiliations
Holger Jaenisch, The Johns Hopkins Univ. (United States)
Licht Strahl Engineering Inc. (United States)


Published in SPIE Proceedings Vol. 8388:
Unattended Ground, Sea, and Air Sensor Technologies and Applications XIV
Edward M. Carapezza, Editor(s)

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