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A novel segmentation method for object tracking and recognition

 
: Witte, C.; Jäger, K.; Hebel, Marcus; Armbruster, W.

:
Fulltext urn:nbn:de:0011-n-1007571 (1.5 MByte PDF)
MD5 Fingerprint: 820e0824486fffa6bac00c43c650dec5
Copyright 2007 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Created on: 24.9.2009


Chodos, S.L. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Acquisition, tracking, pointing, and laser systems technologies XXI : 9 - 11 April 2007, Orlando, Florida, USA
Bellingham, WA: SPIE, 2007 (Proceedings of SPIE 6569)
ISBN: 978-0-8194-6691-4
Paper 65690D
Acquisition, Tracking, Pointing, and Laser System Technologies Conference <21, 2007, Orlando/Fla.>
English
Conference Paper, Electronic Publication
Fraunhofer FOM ( IOSB)
IR object tracking; laser data analysis; sensor fusion; moving sensor platform

Abstract
The increasing demand for the protection of persons and facilities requires the application of sophisticated technologies for surveillance and object tracking. For this purpose appropriate sensors are used like imaging IR sensors suitable for day/night operation and laser radar supplying 3D information of the scenario. In this context there is a requirement of automatic and semi-automatic methods supporting the human observer in his decision-making process. A prevalent task is automatic tracking of striking objects like vehicles or individual persons in an image sequence during a time slice. Classical methods are based on template matching implying certain shortcomings concerning homogeneous background or passing objects occluding the target object. The authors propose a new concept for generating templates for IR target signatures based on the interpretation of laser range data in order to optimize the tracking process. The testbed is realized by a helicopter equipped with a multisensor suite (laser radar, imaging IR, GPS, IMU). Results are demonstrated by the analysis of an exemplary data set. A vehicle situated in a complex scenario is acquired by a forward moving sensor platform and is tracked robustly by the proposed method.

: http://publica.fraunhofer.de/documents/N-100757.html