Nuctech Company Limited

International Business Machines Corporation

Zhi Peng

Jin Cui

Zhiqiang Chen

Ziran Zhao

Liang Li

Dan Zhang

Xue Ping Liu

Hong Bing Zhang

Zhuo Jp Cai

Zhuowen Tu

Dong Lin

Duokun Zhang

Chao Xin

Huabin Tan

Shenglian Zhou

Computer automated interactive activity recognition based on keypoint detection includes retrieving, by one or more processors, a temporal sequence of image frames from a video recording. The one or more processors identify first and second keypoints in each of the image frames in the temporal sequence using machine learning techniques. The first keypoints are associated with an object in the temporal sequence of image frames while the second keypoints are associated with an individual interacting with the object. The one or more processors combine the first keypoints with the second keypoints and extract spatial-temporal features from the combination that are used to train a classification model based on which interactive activities can be recognized.

Computer automated interactive activity recognition based on keypoint detection

Disclosed in the present disclosure are a method and an apparatus for security inspection. The method comprises: acquiring identity related information of a person being inspected, the identity related information comprising a certificate photo; acquiring a real-time facial image of the person being inspected; by comparing the real-time facial image and the certificate photo, acquiring a facial comparison similarity; dynamically determining the threshold of the facial comparison similarity; and performing a human-certificate verification on the person being inspected according to the facial comparison similarity and the threshold. The method for security inspection of the present disclosure enables the fast and accurate facial comparison of the person being inspected during security inspection.

Method and apparatus for security inspection

A stereoscopic imaging system and method is disclosed. In one aspect the system includes an X-ray source that emits a plurality of X-ray fanbeams. The system includes columns of detectors. Each column of detectors is arranged at a preset angle with respect to the X-ray source. The detectors detect a strength of an X-ray fanbeam penetrating an object under inspection. The detectors form transmission images when the object intersects, or moves along a direction intersecting with, the X-ray fanbeams. The system includes a reconstruction apparatus that uses any two of the formed transmission images as a binocular image. The reconstruction apparatus calculates depth information of the object on the transmission images. The reconstruction apparatus superposes and fuses the calculated depth information to obtain 3D information. The reconstruction apparatus performs 3D reconstruction so that the detected object can be presented in a stereoscopic manner from different view angles.

Stereoscopic imaging systems and methods

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Beijing, China

Zhi Peng