Human detection using depth information by Kinect

Lu Xia, Chia-Chih Chen, J. K. Aggarwal
2011 CVPR 2011 WORKSHOPS  
Conventional human detection is mostly done in images taken by visible-light cameras. These methods imitate the detection process that human use. They use features based on gradients, such as histograms of oriented gradients (HOG), or extract interest points in the image, such as scale-invariant feature transform (SIFT), etc. In this paper, we present a novel human detection method using depth information taken by the Kinect for Xbox 360. We propose a model based approach, which detects humans
more » ... sing a 2-D head contour model and a 3-D head surface model. We propose a segmentation scheme to segment the human from his/her surroundings and extract the whole contours of the figure based on our detection point. We also explore the tracking algorithm based on our detection result. The methods are tested on our database taken by the Kinect in our lab and present superior results.
doi:10.1109/cvprw.2011.5981811 dblp:conf/cvpr/XiaCA11 fatcat:jfxpmx3s2bdrdombo6ljdljmgq