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Proceedings Paper

Part-template matching-based target detection and identification in UAV videos
Author(s): Hyuncheol Kim; Jaehyun Im; Taekyung Kim; Jongsue Bae; Sanghoon Lee; Joonki Paik
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Paper Abstract

Detecting and identifying targets in aerial images has been a challenging problem due to various types of image distortion factors, such as motion of a sensing device, weather variation, scale changes, and dynamic viewpoint. For accurate, robust recognition of objects in unmanned aerial vehicle (UAV) videos, we present a novel target detection and identification algorithm using part-template matching. The proposed method for target detection partitions the target into part-templates by efficient extraction method based on target part regions. We also propose distribution distance measurement-based target identification using the target part-template.

Paper Details

Date Published: 3 May 2012
PDF: 6 pages
Proc. SPIE 8360, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX, 83600X (3 May 2012); doi: 10.1117/12.920537
Show Author Affiliations
Hyuncheol Kim, Chung-Ang Univ. (Korea, Republic of)
Jaehyun Im, Chung-Ang Univ. (Korea, Republic of)
Taekyung Kim, Chung-Ang Univ. (Korea, Republic of)
Jongsue Bae, Hanwha Corp. (Korea, Republic of)
Sanghoon Lee, Hanwha Corp. (Korea, Republic of)
Joonki Paik, Chung-Ang Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 8360:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX
Daniel J. Henry; Davis A. Lange; Dale Linne von Berg; Darrell L. Young; Kenneth L. Bernier; Jeff J. Guell; Sreekanth Danny Rajan, Editor(s)

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