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Proceedings Paper

Threat detection and tracking using 3D FLASH ladar data
Author(s): Christina Grönwall; Gustav Tolt; Daniel Karlsson; Hadi Esteki; Joakim Rydell; Ernest E. Armstrong; Jack Woods
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Paper Abstract

Laser-based 3D sensors measure range with high accuracy and allow for detection of objects behind various type of occlusion, e.g., tree canopies. Range information is valuable for detection of small objects that are typically represented by 5-10 pixels in the data set. Range information is also valuable in tracking problems when the tracked object is occluded under parts of its movement and when there are several objects in the scene. In this paper, on-going work on detection and tracking are presented. Detection of partly occluded vehicles is discussed. To detect partly occluded objects we take advantage of the range information for removing foreground clutter. The target detection approach is based on geometric features, for example local surface detection, shadow analysis and height-based detection. Initial results on tracking of humans are also presented. The benefits with range information are discussed. Results are illustrated using outdoor measurements with a 3D FLASH LADAR sensor and a 3D scanning LADAR.

Paper Details

Date Published: 12 May 2010
PDF: 12 pages
Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76960N (12 May 2010); doi: 10.1117/12.849973
Show Author Affiliations
Christina Grönwall, Swedish Defence Research Agency (Sweden)
Gustav Tolt, Swedish Defence Research Agency (Sweden)
Daniel Karlsson, Swedish Defence Research Agency (Sweden)
Hadi Esteki, Swedish Defence Research Agency (Sweden)
Joakim Rydell, Swedish Defence Research Agency (Sweden)
Ernest E. Armstrong, OptiMetrics, Inc. (United States)
Jack Woods, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 7696:
Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI
Firooz A. Sadjadi; David P. Casasent; Steven L. Chodos; Abhijit Mahalanobis; William E. Thompson; Tien-Hsin Chao, Editor(s)

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