Abstract
This paper proposes an augmented reality interactive method based on improved Kinect sensor commands to eliminate the tracking error of moving targets. Designed posture tracking architecture. Experiments show that the above two types of algorithms can meet the needs of the project and have certain light resistance. Among them, the algorithm based on feature points has certain advantages in speed and requires fewer manual processing steps. In this case, it is necessary to combine the previous algorithm to solve the posture, use the optical flow method to track the feature points, avoid the operation of extracting, matching, and removing the mismatch of each frame of feature points, and improve the speed of the algorithm.
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Shi, Y., Zhao, Z. Error elimination method in moving target tracking in real-time augmented reality. J Real-Time Image Proc 18, 295–305 (2021). https://doi.org/10.1007/s11554-020-01047-x
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DOI: https://doi.org/10.1007/s11554-020-01047-x