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Improved detection precision through disparity map and pedestrian part recognition
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시차맵과 보행자 부분인식을 통한 검출 정밀도 향상

논문 기본 정보

Type
Proceeding
Author
Chung-Hee, Lee (대구경북과학기술원)
Journal
The HCI Society of Korea 한국HCI학회 학술대회 PROCEEDINGS OF HCI KOREA 2019 학술대회 발표 논문집
Published
2019.2
Pages
1,195 - 1,198 (4page)

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Improved detection precision through disparity map and pedestrian part recognition
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Research history (5)

2019

Improved detection precision through disparity map and pedestrian part recognition
Chung-Hee ,  Lee 한국HCI학회 학술대회 2019.02 Proceeding

2015

Pedestrian Detection Using Disparity Map-Based Optimal Region Extraction
Chung-Hee Lee ,  Dongyoung Kim 대한전자공학회 학술대회 2015.06 Proceeding
Pedestrian Detection Using Dense Disparity Map and Optimal Feature Selection
Chung-Hee Lee ,  Dongyoung Kim Proceedings of Symposium of the Korean Institute of communications and Information Sciences 2015.01 Proceeding

2014

Pedestrian Detection Using Disparity Map and Dimension Reduction
Chung-Hee Lee ,  Dongyoung Kim 대한전자공학회 학술대회 2014.06 Proceeding
Pedestrian Detection Using Dense Disparity Map-Based Restricted Area
Chung-Hee Lee ,  Young-Chul Lim ,  Dongyoung Kim 한국HCI학회 학술대회 2014.02 Proceeding
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Abstract· Keywords

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본 논문에서는 시차맵과 보행자 부분인식을 통한 검출정밀도 향상 방법을 제안한다. 보행자 검출 성능 향상을 위하여 시차맵을 사용하지만, 다양한 시차맵 에러로 인하여 객체 검출 성능이 저하된다. 특히 시차값이 존재하지 않는 부분은 검출에서 제외되는 문제가 발생한다. 따라서 시차값을 이용한 보행자 후보영역검출, 후보 영역에 대한 추가확장, 보행자 상하단 부분인식 등을 통하여 검출 성능과 정밀도를 향상시킨다. ETH 데이터베이스를 통하여 제안알고리즘을 검증하였으며, 인식율은 기존 방법대비 2%의 향상을 보인다. 그러나 실제 보행자 위치와 인식결과의 위치를 비교한 정밀도 측면에서는 기존방법대비 10%이상의 개선을 보인다.
#시차맵 #검출 정밀도 향상 #보행자 인식

Contents

요약문
1. 서론
2. 검출 정밀도 향상
3. 실험
4. 결론
참고문헌

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