METHOD FOR POSITIONING HUMAN JOINT USING DEPTH IMAGE OF CONVOLUTIONAL NEURAL NETWORK

WIPO Patent Application WO/2017/133009

A1

A method for positioning a human joint using a depth image of a convolutional neural network comprises a training process and a recognition process. The training process comprises the following steps: 1) inputting a training sample; 2) initializing a deep convolutional neural network and a parameter thereof, the parameter including a weight and an offset of each edge; and 3) and obtaining, using a forward algorithm and a backward algorithm, and by means of learning using the training sample, a parameter of a constructed convolutional neural network. The recognition process comprises the following steps: 4) inputting a test sample; 5) and performing regression on the input test sample by using the trained convolutional neural network, to obtain the position of a human joint therein. By using a deep convolutional neural network and big data, the present invention can overcome multiple challenges such as blocking and noise, and achieve a high accuracy rate. In addition, by means of parallel computing, the present invention enables accurate positioning of a human joint in real time.

JP3445799	[Title of Invention] Pattern recognition device and pattern recognition method
WO/2015/186023	METHOD AND SYSTEM OF DETERMINING AN USER ATTITUDE PROFILE FOR A MOBILE DEVICE USER
WO/2016/025071	METHOD AND SYSTEM FOR VERIFYING USER IDENTITY USING CARD FEATURES

CHEN YONGJIE (CN)
LIN LIANG (CN)
WANG QING (CN)
WANG KEZE (CN)

PCT/CN2016/073695

August 10, 2017

February 05, 2016

Click for automatic bibliography generation  

GUANGZHOU NEWTEMPO TECH CO LTD (CN)

G06K9/00

CN105069413A	2015-11-18
CN104504362A	2015-04-08
CN105160310A	2015-12-16
CN103810496A	2014-05-21
US20070126743A1	2007-06-07

ETR LAW FIRM (CN)

View/Download PDF      PDF Help

Previous Patent: IDLE CHANNEL EVALUATION METHOD AND TERMINAL

Next Patent: METHOD, APPARATUS AND SYSTEM FOR PHYSICAL DOWNLINK CHANNEL TRANSMISSION