Endpoint Confirmation and Timing Image Digital Processing for Competitive Athletics

Endpoint Confirmation and Timing Image Digital Processing for Competitive Athletics

In athletics of the past, the confirmation of athletes" performance through manual timing can no longer meet the requirements, and electronic camera technology must be used. At present, the use of existing domestic image acquisition and scoring interpretation systems to determine the interpretation speed has great limitations. This paper aims at the current situation of competitive athletics, and proposes a method of digitally confirming the end of the game and processing the timing image in order to achieve a more accurate timing and end positioning. This article first analyzes the method of competition confirmation in domestic competitive athletics competitions, studies and analyzes the current image acquisition and performance interpretation system deficiencies, and proposes a more accurate endpoint confirmation and timing method. Existing binarization methods can handle many images well. However, due to the use of a unified threshold as the standard for dividing all pixels in the global scope or local area, the traditional global and local binarization methods are processing. For low-contrast images, part of the detailed information of the target object is often lost, and satisfactory processing results cannot be obtained. In order to solve the problem of target extraction in low-contrast images, machine learning (ML) is used. Based on previous research, in order to improve image acquisition and performance. For the interpretation speed & accuracy, using charge-coupled device (CCD) to obtain images, and conducting in-depth research, the purpose is to use DSP digital image processing technology through the acquisition of images and the main control computer to realize the determination of the results of the game. Experimental results show that linear CCD is used in track & field meets and can effectively collect images to confirm the results of the competition, while the interpretation error is about 6%. Subsequent sports competitions can be improved by some methods. In competitive athletic competitions, the confirmation of sports performance couldn’t meet the requirements by manual timing in the past. According to the regulations of the International Amateur Athletic Federation (IAAF), electric finish timing systems are required for major sports competitions. At present, the domestic development level is still stuck in black and white image assessments. At this level, this article applies the high-speed color linear CCD technology to the electric timing system at the end of the track, and analyzes the various factors that affect the image quality in post-processing of the color image acquisition, which has great significance to improve the efficiency of athletics and sports competitions.

In athletics of the past, the confirmation of athletes" performance through manual timing can no longer meet the requirements, and electronic camera technology must be used. At present, the use of existing domestic image acquisition and scoring interpretation systems to determine the interpretation speed has great limitations. This paper aims at the current situation of competitive athletics, and proposes a method of digitally confirming the end of the game and processing the timing image in order to achieve a more accurate timing and end positioning. This article first analyzes the method of competition confirmation in domestic competitive athletics competitions, studies and analyzes the current image acquisition and performance interpretation system deficiencies, and proposes a more accurate endpoint confirmation and timing method. Existing binarization methods can handle many images well. However, due to the use of a unified threshold as the standard for dividing all pixels in the global scope or local area, the traditional global and local binarization methods are processing. For low-contrast images, part of the detailed information of the target object is often lost, and satisfactory processing results cannot be obtained. In order to solve the problem of target extraction in low-contrast images, machine learning (ML) is used. Based on previous research, in order to improve image acquisition and performance. For the interpretation speed & accuracy, using charge-coupled device (CCD) to obtain images, and conducting in-depth research, the purpose is to use DSP digital image processing technology through the acquisition of images and the main control computer to realize the determination of the results of the game. Experimental results show that linear CCD is used in track & field meets and can effectively collect images to confirm the results of the competition, while the interpretation error is about 6%. Subsequent sports competitions can be improved by some methods. In competitive athletic competitions, the confirmation of sports performance couldn’t meet the requirements by manual timing in the past. According to the regulations of the International Amateur Athletic Federation (IAAF), electric finish timing systems are required for major sports competitions. At present, the domestic development level is still stuck in black and white image assessments. At this level, this article applies the high-speed color linear CCD technology to the electric timing system at the end of the track, and analyzes the various factors that affect the image quality in post-processing of the color image acquisition, which has great significance to improve the efficiency of athletics and sports competitions.