JOURNAL ARTICLE

Research on Sports Video Tracking Technology Based on Mean Shift Algorithm and Color Histogram Algorithm

Abstract

The research on sports video tracking technology based on mean shift algorithm and color histogram algorithm is a research work focusing on the automatic tracking algorithm of sports events. The purpose of this research project is to develop an effective method to track moving objects in real time using video sequences. The purpose of this study is to find out whether there are any differences between the two algorithms in tracking objects in video. The purpose of this study is also to find out whether there are any differences between the two algorithms when tracking objects in video. The main purpose of this study is to know whether there is any difference between the mean shift algorithm and the color histogram algorithm for object detection in video. In order to achieve this goal, we use mean shift algorithm and color histogram algorithm as our method. This paper presents the results obtained from these two methods.

Keywords:
Mean-shift Histogram Algorithm Computer science Color histogram Video tracking Artificial intelligence Computer vision Tracking (education) Object (grammar) Image processing Pattern recognition (psychology) Color image Image (mathematics)

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FWCI (Field Weighted Citation Impact)
10
Refs
0.09
Citation Normalized Percentile
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Topics

AI and Multimedia in Education
Physical Sciences →  Computer Science →  Artificial Intelligence
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
E-commerce and Technology Innovations
Social Sciences →  Business, Management and Accounting →  Business and International Management

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