Electronics and Telecommunications Research Institute

Kimin Yun

Jin Young Moon

Yongjin Kwon

Jongyoul Park

Sungchan Oh

Kang Min Bae

Youngwan Lee

Hyungil Kim

A method and apparatus for face recognition robust to an alignment of the face comprising: estimating prior information of a facial shape from an input image cropped from an image including a face using the first deep neural network (DNN); extracting feature information of facial appearance from the input image by using a second DNN; training, by using a face image decoder based on the prior information and the feature information, the face recognition apparatus; and extracting, from a test image, facial shape-aware features in the inference step by using the trained second DNN.

Method and apparatus for face recognition robust to alignment status of the face

A method and apparatus for detecting a garbage dumping action in real time on a video surveillance system are provided. A change region, which is a motion region, from an input image is detected, joint information including joint coordinates corresponding to a region in which joints exist is generated, and an object held by a person from the image using the change region and the joint information is detected. Then, an action of dumping the object based on a distance between the object and the joint coordinates is detected.

Method and apparatus for detecting a garbage dumping action in real time on video surveillance system

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Daejeon, South Korea

Kimin Yun