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논문 기본 정보

자료유형
학술저널
저자정보
Watcharin Tangsuksant (Kyushu Institute of Technology) Masashi Noda (Kyushu Institute of Technology) Kodai Kitagawa (Kyushu Institute of Technology) Chikamune Wada (Kyushu Institute of Technology)
저널정보
한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.19 No.1
발행연도
2019.3
수록면
48 - 58 (11page)
DOI
10.5391/IJFIS.2019.19.1.48

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초록· 키워드

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To provide an effective notification service for the blinds awaiting the bus, it is crucial to have a viewpoint classification technique in which a viewpoint is defined with tilt and panning of camera. This paper proposes a viewpoint classification method using the car distribution information in the congested traffic environment. The proposed method takes four steps for classification. First, the YOLO algorithm is used to detect the car positions in the images. Second, the car positions are normalized for feature computation. Third, nineteen simple features are extracted and finally, the viewpoint classification is conducted. The proposed method uses the information gain measure to select relevant ones from the extracted features, and uses the Random Forest algorithm as a classifier. In the experiments, the proposed method has been tested for various roadside scenarios of congested traffic in day and night. The accuracies for car detection and viewpoint classification were 79:90% and 86:00%, respectively, which are improved compared to the prior work.

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Abstract
1. Introduction
2. Suitable Viewpoint Definition for Bus Waiting
3. Proposed Method
4. Experiments and Results
5. Discussion
6. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2019-003-000551486