임베디드 프로세서를 이용한 고정익 무인항공기 영상기반 목표물 탐지 및 추적 = Fixed-Wing UAV`s Image-Based Target Detection and Tracking using Embedded Processor

다국어 초록 (Multilingual Abstract)

In this paper, we described development of on-board image processing system and its process and verified its performance through flight experiment. The image processing board has single ARM(Advanced Risk Machine) processor. We performed Embedded Linux Porting. Algorithm to be applied for object tracking is color-based image processing algorithm, it can be designed to track the object that has specific color on ground in real-time. To verify performance of the on-board image processing system, we performed flight test using the PNUAV, UAV developed by LAB. Also, we performed optimization of the image processing algorithm and kernel to improve real-time performance. Finally we confirmed that proposed system can track the blue-color object within four pixels error range consistently in the experiment.

참고문헌 (Reference)

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5 S.J.Lee, "Embodiment of Real Time Image Process System Using Embedded Processor" 1026-1030, 2011

6 J.H.An, "Developmental Algorithm of Color Image Using PAX255 ARM Processor" Dankook University

7 Paul. B. Matteucci, "ARM-Based Visual Processing System for Prosthetic Vision" 2011

8 Zheng Guo-rong, "A Method of Embedded Video Surveillance based on OpenCV" 1-4, 2011