지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.10
- 수록면
- 599 - 602 (4page)
이용수
초록· 키워드
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This paper proposes a method to detect pedestrians from a single camera mounted on the vehicle then classify the location of the pedestrian to give information for the driver assistance system. The system consists of three stages. First, moving objects are detected using optical flows method. A moving object is extracted from the relative motion by segmenting the region representing the same optical flows after compensating the ego-motion of the camera. The regions of moving object are detected as transformed objects which are different from the previously registered background. Second, histogram of oriented gradients (HOG) features descriptor and linear support vector machine (SVM) are used to recognize the pedestrian from detected moving objects. Third, a heuristic method according to the image formation in advance from its geometrical coordinates is proposed. It is used for classify the location of the detected pedestrian using the region properties of the image. The image is classified into two regions, the road region in front of vehicle and the pedestrian movement region. The proposed method is evaluated using sequential images in outdoor environment, and the performance results shown the best pedestrian detection rate is 99.3% at 0.09 false positive rate. The location classification evaluation shown correct detection rate is 92.40%.
목차
Abstract
1. INTRODUCTION
2. MOTION SEGMENTATION
3. LOCATION CLASSIFICATION
4. EXPERIMENTAL RESULTS
5. CONCLUSION
REFERENCES
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