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학술대회 Fast Object Detection Via Re-Use Mechanism
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저자
이대하, 박천수, 장민수, 김재홍
발행일
201510
출처
International Conference on Control, Automation and Systems (ICCAS) 2015, pp.1196-1198
DOI
https://dx.doi.org/10.1109/ICCAS.2015.7364810
협약과제
15PC2800, 인간 친화적 로봇 서비스 환경에서 판단 적합성 90%이상인 복합지식 기반 판단 및 의미기반 로봇 표현 기술 개발, 김재홍
초록
In the field of object recognition, the most fundamental and important step is object detection. However, object detection in images requires a great deal of resources, for example, memory and computing power. If an image is enlarged, the computational complexity required for object detection becomes a large obstacle. An-integral-image-based method guarantees fast object detection. Once an integral image is generated, the speed of the object detection procedure remains fixed, regardless of the pattern region. Still, there are many recalculations during object detection on an integral image, and this constraint becomes an even greater issue if the image is enlarged. In this paper, we propose a customized-object detection method, which reuses pre-computed values and thereby reduces the number of computations required for object detection in comparison to methods using an integral image. In experiments comparing the two methods, the proposed method requires only 60% of the number of computations and detects objects 50% faster.
키워드
additional summation, integral image, re-use mechanism
KSP 제안 키워드
Computational complexity, Computing power, Detection Method, Detection procedure, Image-based method, Integral Image, Object Recognition, Object detection, additional summation, re-use mechanism