利用计算机视觉检测蟋蟀活动

Anuj Chauhan, Vandana Bhatia
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引用次数: 1

摘要

如今最流行的和书签游戏是板球在整个世界,其中各种类型的活动发生,如无球,宽球,边界等。在此,我们将计算机视觉算法与相机视角分析相结合来检测复合特征。板球比赛中出现了许多人为错误,因为宽球或无球造成了非常关键的局面,这些决定在比赛中造成了非常矛盾的局面。今天,科技在当今世界扮演着最重要的角色。因此,我们决定使用计算机视觉技术检测板球比赛中发生的各种活动,如关键接球,LBW,无球,宽球等。在这里,我们将讨论使用计算机视觉的活动检测。技术有不同的维度。今天可用的技术不是计算数据。该技术有许多不同的应用和量级/方面,当软件精确执行时,软件可以实现更高的精度和更大的结果。在任何运动中实施都是非常有益的。网球、棒球、橄榄球、足球、曲棍球、板球、足球、卡巴迪等游戏,以及象棋、羽毛球、射击等单人游戏,也被认为是对他们国家的荣誉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cricket Activity Detection Using Computer Vision
Nowadays the most trending and bookmark game is cricket in the whole world in which various types of activities occur like a No-ball, Wide Ball, Boundaries, etc. Here we detect a composite feature combining computer vision Algorithm along with camera view analysis. Many human errors occur in cricket matches because a wide ball or no ball creates very crucial situations and these decisions create very contradictorily during a match. Today technology is playing the most important role in the present world. So we decided that detect the various activities using computer vision techniques that occur during a cricket match like crucial catches, LBW, No ball, wide ball, etc. Here we will discuss activity detection using computer vision. Technology has various dimensions. Today the technology available is not computed the data. The technology has many different applications and magnitudes/aspect at which the software is achieving higher accuracy and greater results when the software is precisely performed. Implementation in any sport is much beneficial. Then Games such as Tennis, Baseball, Rugby, Soccer, Hockey, Cricket, Football, Kabaddi, etc. and single-player games like Chess, Badminton, Shooting, etc. are also being considered well thought out as honor to their countries.
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