Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6938268 | Journal of Visual Communication and Image Representation | 2018 | 37 Pages |
Abstract
Human detection is a very important research problem due to its relevance to a wide range of applications. This paper proposes a new method for human detection in RGB-D images. Based on the observation that human head often forms a distinguishable blob-like region in depth image and its physical size and height are in well-known ranges, we propose a physical blob detector to efficiently locate candidate human regions. Since color information and 3D physical structure information are both important cues for characterizing human upper body, we propose to incorporate these two sources of information and construct a novel Multi-Channel Color Shape Descriptor (MCSD) to further verify the candidate regions. The experimental results on four publicly available datasets consistently show that the proposed method can reliably detect humans in RGB-D video in real time.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Guyue Zhang, Jun Liu, Ye Liu, Jingwen Zhao, Luchao Tian, Yan Qiu Chen,