객체 추적을 위한 특징점 검출기의 설계 및 구현
Design and Implementation of Feature Detector for Object Tracking
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본 논문에서는 객체 추적을 위한 간소화된 특징점 검출 알고리즘을 제안하고, 이의 실시간 처리를 위한 하드웨어 구조 설계 및 구현 결과를 제시한다. 기존 Shi-Tomasi 알고리즘은 객체 추적 응용에서 우수한 성능을 보이지만, 연산 복잡도가 큰문제가 존재한다. 따라서, 기존 알고리즘에 비해 연산 복잡도를 간소화시키면서 유사한 성능 지원이 가능한 효율적인 특징점검출 알고리즘을 제안하고, 하드웨어 설계 및 구현 결과를 제시한다. 제안된 특징점 검출기는 FPGA 기반 구현 결과, 1,307개의 logic slices, 5개의 DSP 48s, 86.91Kbit의 메모리로 구현 가능함을 확인하였으며, 114MHz의 동작 주파수로 1920×1080FHD급 영상에 대해 54fps의 실시간 처리가 가능하다.212
Abstract
In this paper, we propose a low-complexity feature detection algorithm for object tracking and present hardwarearchitecture design and implementation results for real-time processing. The existing Shi-Tomasi algorithm shows goodperformance in object tracking applications, but has a high computational complexity. Therefore, we propose an efficientfeature detection algorithm, which can reduce the operational complexity with the similar performance to Shi-Tomasialgorithm, and present its real-time implementation results. The proposed feature detector was implemented with 1,307logic slices, 5 DSP 48s and 86.91Kbits memory with FPGA. In addition, it can support the real-time processing of 54fpsat an operating frequency of 114MHz for 1920×1080 FHD images.
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