School of Physical Education and Taijiquan, Henan Polytechnic University, Jiaozuo 454000, China.
College of Physical Education (Main Campus), Zhengzhou University, Zhengzhou 450001, China.
Comput Intell Neurosci. 2022 Mar 7;2022:7481160. doi: 10.1155/2022/7481160. eCollection 2022.
Real-time tracking of video sports targets has been widely used in the sports industry. In order to further improve the accuracy of real-time tracking of sports targets, this paper proposes a real-time tracking method for sports targets in smart cities in the context of Internet+. This method collects data and information on the targets in the sports process, fully considers the diversity of the sports process, and performs real-time tracking and detection of the upgraded sports targets. Finally, the experimental research shows that the method in this paper can track the target accurately and quickly in real time during the movement process, and the accuracy and real-time tracking are relatively better than other tracking methods, which can be used as a powerful tool for subsequent moving target tracking.
视频体育目标的实时跟踪已被广泛应用于体育行业。为了进一步提高体育目标实时跟踪的准确性，本文提出了一种互联网+背景下智能城市体育目标的实时跟踪方法。该方法采集运动过程中目标的数据和信息，充分考虑运动过程的多样性，对升级后的运动目标进行实时跟踪和检测。最后，实验研究表明，本文方法在运动过程中能够准确快速地实时跟踪目标，其准确性和实时跟踪性能均优于其他跟踪方法，可作为后续运动目标跟踪的有力工具。
