US Patent Application 18021296. LEARNING DEVICE, LEARNING METHOD, TRACKING DEVICE, AND STORAGE MEDIUM simplified abstract

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LEARNING DEVICE, LEARNING METHOD, TRACKING DEVICE, AND STORAGE MEDIUM

Organization Name

NEC Corporation


Inventor(s)

Yasunori Babazaki of Tokyo (JP)


LEARNING DEVICE, LEARNING METHOD, TRACKING DEVICE, AND STORAGE MEDIUM - A simplified explanation of the abstract

  • This abstract for appeared for US patent application number 18021296 Titled 'LEARNING DEVICE, LEARNING METHOD, TRACKING DEVICE, AND STORAGE MEDIUM'

Simplified Explanation

The abstract describes a learning device that acquires training data consisting of images, tracking target position information, and identification information. It then matches the tracking target position information with estimated posture information from the images and associates them with identification information. The device also learns an inference engine that can infer correspondence information between tracking targets in the training images based on posture and identification information.


Original Abstract Submitted

A learning device 1X includes an acquisition means 15X, an estimation result matching means 16X, and a learning means 18X. The acquisition means 15X acquires tracking training data in which first and second training images in time series, tracking target position information regarding position or posture of a tracking target shown in each first and second training images, and identification information of the tracking target are associated. The estimation result matching means 16X compares the tracking target position information with posture information indicating posture of the tracking target estimated from the first and second training images and associates the posture information with the identification information. The learning means 18X learns an inference engine, which infers correspondence information indicating correspondence relation of the tracking target between the training images when information based on the posture information is inputted, the correspondence information based on the posture information and the identification information.