Abstract
At present, in the field of computer vision and the application field of computer video image acquisition and processing, the motion trajectory analysis method of human body is highly valued by many scientific and technological workers because of its wide range of technical application and research, wide application fields, good and broad market application and broad prospects. The analysis of human motion parameters will play an important mathematical role in the analysis of clinical medical results and human-computer interaction simulation. Even in the planning of some busy modern central cities in some big cities in China, the passenger flow analysis of local statistics such as the location of planned road intersections and urban subway entrances can give full play to the statistical role. Therefore, this paper designs and studies the sports video image system based on SIFT algorithm. Firstly, this paper introduces the relevant background and significance, and then expounds the relevant technical theory. Then, based on the theory and technology, build the system model, and finally debug it. Finally, the test results show that the denoising effect of the proposed algorithm on various noise density images is significantly better than other algorithms.
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Han, M. (2023). Sports Video Image Analysis System Based on SIFT Algorithm. In: Atiquzzaman, M., Yen, N.Y., Xu, Z. (eds) Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2. BDCPS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 168. Springer, Singapore. https://doi.org/10.1007/978-981-99-1157-8_44
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DOI: https://doi.org/10.1007/978-981-99-1157-8_44
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