Image segmentation algorithm based on optical topology sensors in athlete training video simulation

Author:

Yang Baoqiang1

Affiliation:

1. Shanxi Police College

Abstract

Abstract

If an athlete's body movements are not standardized or make mistakes during the training process, it will greatly affect their training effectiveness. Therefore, professional guidance is necessary when conducting action training. The development of optical technology has promoted the widespread application of human bone key point detection technology in multiple fields, such as human-computer interaction and motion analysis. Based on this, this article takes the image segmentation algorithm of optical topology sensors as the prototype and conducts research and development on the training video simulation system for athletes. After studying the operating principle of optical topological sensors, this article applies topological photonic crystals to the development of sensors and conducts a series of sensing performance analysis. The results show that the edge states in topological photonic crystals play an indispensable role in sensors. Then, this article studied the image segmentation algorithm, which is a key technology in the field of image analysis and detection. The quality of the corresponding segmentation results has a very direct impact on the information feature extraction and recognition of subsequent images. Therefore, this article made relevant improvements to it after the research. Finally, this article successfully developed an athlete training video simulation system, which achieved automatic analysis of training videos. Through various tests, it was proven that the system has good performance and runs stably.

Publisher

Research Square Platform LLC

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