Body Recognition Based on Depth Image

Jian Zhang; Wan Juan Song

doi:10.4028/www.scientific.net/AMM.631-632.414

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 631-632Body Recognition Based on Depth Image

Body Recognition Based on Depth Image

Abstract:

The text introduces the research status of depth image in the pattern recognition and the application in the body recognition. Aiming at the problem that the image recognition shot by common camera has declined performance under the factors of illumination, posture, shielding, and the like, the body parts are distinguished and judged by taking Kinect equipment promoted by Microsoft as the platform, analyzing the features of the depth picture obtained by the Kinect camera and putting forwards to the local gradient features of comprehensive point features and the gradient features; and the elbow is taken as the example to argue simply .

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Periodical:

Applied Mechanics and Materials (Volumes 631-632)

Pages:

414-417

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.631-632.414

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Online since:

September 2014

Authors:

Jian Zhang*, Wan Juan Song

Keywords:

Body Recognition, Depth Image, Kinec, Local Gradient Features

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