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학술대회 Rear Object Detection Method Based on Optical Flow and Vehicle Information for Moving Vehicle
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저자
최윤원, 정윤수, 이수인, 이석규
발행일
201707
출처
International Conference on Ubiquitous and Future Networks (ICUFN) 2017, pp.203-205
DOI
https://dx.doi.org/10.1109/ICUFN.2017.7993776
협약과제
16ZC3300, 상황인지 스마트카 퓨전 플랫폼 개발 및 지역 부품업체 지원사업, 박미룡
초록
This paper proposes a method to detect rear object using vehicle information and optical flow in moving vehicles. The previous method detects objects by method using optical flow, background removal, and frame difference in the stopped vehicle state. In particular, optical flow method uses analysis of background or flow distribution to remove the background flow. In this paper, however, objects detect in moving vehicles by removing the background flow generated by vehicle movement using vehicle information. The performance of the proposed algorithm evaluated through experiments using stored images and vehicle information obtained from actual moving vehicles.
키워드
Blind spot detection, Moving object detection, Optical flow
KSP 제안 키워드
Blind spot detection, Detection Method, Frame Difference, Moving Object Detection, Moving Vehicle, Optical flow method, Vehicle state, background removal, flow distribution, vehicle movement