OBJECT DETECTION DEVICE, LEARNING METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20220277553A1

    公开(公告)日:2022-09-01

    申请号:US17624913

    申请日:2019-07-11

    Abstract: In an object detection device, a plurality of object detection units output a score indicating probability that a predetermined object exists, for each partial region set to image data inputted. The weight computation unit computes weights for merging the scores outputted by the plurality of object detection units, using weight calculation parameters, based on the image data. The merging unit merges the scores outputted by the plurality of object detection units, for each partial region, with the weights computed by the weight computation unit. The target model object detection unit configured to output a score indicating probability that the predetermined object exists, for each partial region set to the image data. The first loss computation unit computes a first loss indicating a difference of the score of the target model object detection unit from a ground truth label of the image data and the score merged by the merging unit. The first parameter correction unit corrects parameters of the target model object detection unit to reduce the first loss.

    POSE ESTIMATION APPARATUS, LEARNING APPARATUS, POSE ESTIMATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM

    公开(公告)号:US20220277473A1

    公开(公告)日:2022-09-01

    申请号:US17672884

    申请日:2022-02-16

    Abstract: To improve pose estimation accuracy, a pose estimation apparatus according to the present invention extracts a person area from an image, and generates person area image information, based on an image of the extracted person area. The pose estimation apparatus according to the present invention further extracts a joint point of a person from the image, and generates joint point information, based on the extracted joint point. Then, the pose estimation apparatus according to the present invention generates feature value information, based on both of the person area image information and the joint point information. Then, the pose estimation apparatus according to the present invention estimates a pose of a person included in the image, based on an estimation model in which the feature value information is an input, and pose estimation result is an output.

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