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Sports image detection based on FPGA hardware system and particle swarm algorithm

机译：基于FPGA硬件系统和粒子群算法的体育图像检测

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The action of the opposition is conveyed on a fundamental level. Moreover, it finds image detection related information on contenders and football sports Image, which can be realized in the outside image. From the force situation, one can see that image advancement is up. Therefore, this assessment development image as a thing to ponder the usage of image acknowledgment development. Football sports detection is dealing with the whole system. The structure configuration relies upon hardware, including a Field Programmable Gate Array (FPGA). This new computation particle swarm algorithm estimation is implemented to edge recognizable proof, grayscale planning, object get, target affirmation, image area development, etc., which are consolidated into the genuine need of the game video to achieve the various essentials of development image acknowledgment. All the while, it has set itself up as a demonstrating ground to test the suitability of the investigation framework that sees the affirmation of contenders, games affirmation, sports lead judgment, etc. Football sports Image detection results of the relevant investigations have revealed that the existence of the solution.
机译：反对派的行动在基本层面上传达。此外，它发现了关于竞争者和足球运动图像的图像检测相关信息，这可以在外部图像中实现。从力量情况下，人们可以看到图像进步已经上升。因此，这种评估的发展形象作为思考图像确认开发的使用。足球运动检测正在处理整个系统。结构配置依赖于硬件，包括现场可编程门阵列（FPGA）。这种新的计算粒子群算法估计被实现为边缘可识别的证明，灰度规划，对象GET，目标肯定，图像区域开发等，该验证，图像区域开发等，这些验证，图像区域开发等被整合到游戏视频的真正需要，以实现开发图像确认的各种必需品。一直在，它已经将自己置于展示地面，以测试竞争，游戏肯定，体育领先判断等肯定的调查框架的适用性。足球运动图像检测结果的相关调查显示了解决方案的存在。

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