MONOCULAR 2D SEMANTIC KEYPOINT DETECTION AND TRACKING

Abstract: a method for 2d semantic keypoint detection and tracking is described. the method includes learning embedded descriptors of salient object keypoints detected in previous images according to a descriptor embedding space model. the method also includes predicting, using a shared image encoder backbone, salient object keypoints within a current image of a video stream. the method further includes inferring an object represented by the predicted, salient object keypoints within the current image of the video stream. the method also includes tracking the inferred object by matching embedded descriptors of the predicted, salient object keypoints representing the inferred object within the previous images of the video stream based on the descriptor embedding space model.

Inventor(s): Haofeng CHEN, Arjun BHARGAVA, Rares Andrei AMBRUS, Sudeep PILLAI

CPC Classification: G06V10/462 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)

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