首页|New Robotics Study Findings Have Been Reported by Researchers at Beijing University of Posts and Telecommunications (Color Filterbased Gait Silhouette Extraction Method In Dynamic Background)
New Robotics Study Findings Have Been Reported by Researchers at Beijing University of Posts and Telecommunications (Color Filterbased Gait Silhouette Extraction Method In Dynamic Background)
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Research findings on Robotics are discussed in a new report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The smart walker is a special service robot that can assist the elderly in walking. Deploying gait recognition algorithms on the smart walker can help the elderly identify relatives and friends from a distance in real time and obtain some pedestrian information to avoid danger.” Financial support for this research came from The authors have no conflict of interest to declare. All human data are from public datasets.. Our news journalists obtained a quote from the research from the Beijing University of Posts and Telecommunications, “However, in actual usage scenarios, it is difficult to quickly obtain qualified pedestrian silhouettes as input images for gait recognition algorithms. The difficulty is that unlike fixed cameras in traditional gait recognition scenarios, the camera of a smart walker acquires a dynamic background due to the movement of the robot, and it is difficult to accurately segment dynamic pedestrians from the dynamic background. Instance segmentation algorithms commonly used to segment silhouettes in static images require high-resolution input images. To quickly segment gait silhouettes from dynamic backgrounds, we propose a color filter-based gait silhouette extraction method (CFSE) in dynamic background. We use instance segmentation algorithms to distinguish the foreground and background, use background subtraction algorithms to obtain portrait silhouettes, and finally use color filtering to eliminate background colors to get the silhouette.”
BeijingPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsBeijing University of Posts and Telecommunications
NETL
NSTL
Spie-Soc Photo-Optical Instrumentation Engineers
