Fast real-time human detection based on omni-directional vision sensor
Wen Li · Journal of Zhejiang University of Technology · 2008
Against the defect of existing human detection,which can not detect rapidly in the large field at present,this paper presents a rapid human detection theory and method based on omni-directional vision sensor(ODVS).From the view of the human model,firstly it simplifies human model as rectangle.In the different region radius where the human exists,different shape and size of the rectangular models are established in accord with the calibration of ODVS.At last,the foreground moving target is judged by area and shape attributes.If the moving targets do not conform to the calibration rectangular model of region,it uses the methods of the vertical direction projection and color of the face detection as the secondary judgment,thus achieving rapid detection of the human body.The human detection method that the paper presents,can facilitate to realize surveillance control in the large field,which also can get information,such as whether or not the human exists,the number of people,and the position of human.So it provides a new method which can capture the human information from all-direction and improve the human detection accuracy.