Tencent Technology (shenzhen) Company Limited

Siqian Yang

Jilin Li

Chengjie Wang

Feiyue Huang

Yongjian Wu

Yanhao Ge

Keke He

Yichao Yan

This application discloses a human attribute recognition method performed at a computing device. The method includes: determining a human body region image in a surveillance image; inputting the human body region image into a multi-attribute convolutional neural network model, to obtain, for each of a plurality of human attributes in the human body region image, a probability that the human attribute corresponds to a respective predefined attribute value, the multi-attribute convolutional neural network model being obtained by performing multi-attribute recognition and training on a set of pre-obtained training images by using a multi-attribute convolutional neural network; determining, for each of the plurality of human attributes in the human body region image, the attribute value of the human attribute based on the corresponding probability; and displaying the attribute values of the plurality of human attributes next to the human body region image.

Human body attribute recognition method, apparatus, and device and medium

Growing community of inventors

Shenzhen, China

Siqian Yang