Abstract
This paper presents a method of human detection by Meanshift based on depth map. By analyzing and comprehensively applying segmentation method based on height information to extract moving target and remove the background information from depth map, then find the region of interest (ROIs) with moving target, thus through mean shift method to achieve real-time detection of targets (pedestrian). Depth image has nothing to do with color space and not suffer from the factors such as illumination, shadow effect. In this paper, using the depth image pattern recognition is a good way to overcome the difficulties of visible light image pattern recognition often encountered.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
