Recognizing human violent action using drone surveillance within real-time proximity

Srivastava, Anugrah; Badal, Tapas; Garg, Apar; Vidyarthi, Ankit; Singh, Rishav

doi:10.1007/s11554-021-01171-2

Cited by 21 publications

(1 citation statement)

References 30 publications

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“…Sun et al conducted a research on the application of video technology in the production of tennis multimedia CAI courseware and did not conduct further analysis and research on the data of video technology [14]. Srivastava et al conducted an experimental study on improving tennis forehand stroke technique using computer-aided teaching methods [15]. Chen et al proposed a motion vector field transformation algorithm for tennis video analysis [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Tennis Technology Recognition and Training Attitude Analysis Based on Artificial Intelligence Sensor

2022

Journal of Sensors

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In order to solve the problem of traditional tennis serving technique teaching, subjective, and experience-based teaching methods, the author proposes a method to extract tennis training movements based on artificial intelligence sensor video analysis. This method requires the use of ordinary cameras and computer technology; video analysis technology is used to guide tennis teaching and training. The result obtained is as follows: in the experimental group and the control group, at the end of the teaching stage, the movement characteristics of each link of the body are quite different, which can reach 15%-20%; when the experimental group and the control group did the “scratching back” movement during the teaching period, at the end of teaching, the students in the experimental group were close to high-level tennis players in their movement skills, and the movement gap was only about 5%. It is proved that the method proposed by the author provides an objective and scientific basis for measuring the referee’s penalty level. In the grass-roots tennis teaching and training, it has important value and significance and has a great promotion prospect.

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Section: Literature Reviewmentioning

confidence: 99%