Beijing Xiaomi Pinecone Electronics Co., Ltd.

Xiaomi Technology (wuhan) Co., Ltd.

Wei Deng

Xian Hu

Jun Yi

A method and device for behavior recognition based on line-of-sight estimation are provided. The method is as follows. An image is collected. It is detected whether the image includes a face. When the image includes a face, it is determined whether the face in the image is a face with closed eyes. When the face in the image is not with closed eyes, a line-of-sight direction angle of a target to which the face belongs, and a distance between the face and an image collecting unit, are computed. It is determined whether the target has a set behavior based on the line-of-sight direction angle and the distance.

Method for behaviour recognition based on line-of-sight estimation, electronic equipment, and storage medium

A method and device for behavior recognition are provided. According the present disclosure, an image is collected. It is detected whether the image includes a face. When the image includes a face, it is determined whether the face in the image is a face with closed eyes. When the face in the image is not with closed eyes, a distance between the face and an image collecting unit is computed. A maximum field of vision of a target to which the face belongs is determined according to the distance and a parameter of the image collecting unit. It is determined, according to the maximum field of vision, whether the target has a set behavior.

Method for behaviour recognition, electronic equipment, and storage medium

At least two images are acquired. At least two crop images are acquired by cropping the at least two images for face-containing images. Triangular patch deformation is performed on two neighbour images, generating a first triangular patch deformation frame image sequence and a second triangular patch deformation frame image sequence. Similarity transformation is performed on each image sequence of the first triangular patch deformation frame image sequence, acquiring a first transform frame image sequence. Similarity transformation is performed on each image sequence of the second triangular patch deformation frame image sequence, acquiring a second transform frame image sequence. The first and the second transform frame image sequences are fused, acquiring a video frame sequence corresponding to the two neighbour images. Of the at least two images, a video frame sequence generated by all neighbour images is coded, acquiring a destined video.

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Wuhan, China

Wei Deng