Application of Embedded Intelligent Target Detection System in Basketball Movement Test

With the development of society, basketball has been deeply loved by people all over world. Meanwhile, become one most watched events in In order to adapt and make better understand laws basketball, this paper aims study application embedded intelligent object detection system sports test use separate sports. Compared with general computer processing system, great differences. It cannot realize large-capacity storage function because there is no matching medium. Strengthen learning theoretical knowledge through rules. Firstly, research background significance moving target are introduced, Linus operating including hardware design software design. Then, four algorithms proposed. Object detection, also called extraction, an image segmentation based on geometric statistical features objects, its accuracy real-time performance important capability entire system. Experiments show that when using YCrCb domain algorithm, average time-consuming 292 ms, conversion frame rate about 3.5fps. The algorithm good effect high efficiency.