RGB-D 정보 및 거리변환을 이용한 보행자 검출

• Published in: 전기학회 논문지 P권, 65(1) Vol. 65P; no. 1; pp. 66 - 71
• Main Authors: 이호훈(Ho-Hun Lee), 이대종(Dae-Jong Lee), 전명근(Myung-Geun Chun)
• Format: Journal Article
• Language: Korean
• Published: 대한전기학회 2016
• Subjects: 전기공학; RGB-D; Distance transform; Pedestrian detection
• ISSN: 1229-800X; 2586-7792

According to the development of depth sensing devices and depth estimation technology, depth information becomes more important for object detection in computer vision. In terms of recognition rate, pedestrian detection methods have been improved more accurately. However, the methods makes slower detection time. So, many researches have overcome this problem by using GPU. Here, we propose a real-time pedestrian detection algorithm that does not rely on GPU. First, the depth-weighted distance map is used for detecting expected human regions. Next, human detection is performed on the regions. The performance for the proposed approach is evaluated and compared with the previous methods. We show that proposed method can detect human about 7 times faster than conventional ones.