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Human detection using depth information by Kinect
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
doi:10.1109/cvprw.2011.5981811
dblp:conf/cvpr/XiaCA11
fatcat:jfxpmx3s2bdrdombo6ljdljmgq