Part-template matching-based target detection and identification in UAV videos

Hyuncheol Kim; Jaehyun Im; Taekyung Kim; Jongsue Bae; Sanghoon Lee; Joonki Paik

doi:10.1117/12.920537

3 May 2012 Part-template matching-based target detection and identification in UAV videos

Hyuncheol Kim, Jaehyun Im, Taekyung Kim, Jongsue Bae, Sanghoon Lee, Joonki Paik

Proceedings Volume 8360, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX; 83600X (2012) https://doi.org/10.1117/12.920537
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Hyuncheol Kim, Jaehyun Im, Taekyung Kim, Jongsue Bae, Sanghoon Lee, and Joonki Paik "Part-template matching-based target detection and identification in UAV videos", Proc. SPIE 8360, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX, 83600X (3 May 2012); https://doi.org/10.1117/12.920537

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