Electronics and Telecommunications Research Institute

Sungchan Oh

Jin Young Moon

Yongjin Kwon

Jongyoul Park

Kimin Yun

Kang Min Bae

Dae Hoe Kim

Youngwan Lee

Hyungil Kim

Je-Seok Ham

Jinyoung Moon

A method of estimating a pedestrian risk situation includes receiving an image captured by a CCTV camera that is installed at a predetermined location, generating a bounding box of a pedestrian within the image, generating a segmentation map by performing semantic segmentation on the image, generating a ground area map by identifying a ground area in the segmentation map, and estimating semantic location information of the pedestrian based on the bounding box and the ground area map.

System and method for estimating pedestrian risk situation

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

Sungchan Oh