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An Image Recognition Method for Moving Stick and Its Application

机译:移动棒的图像识别方法及其应用

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摘要

The requirement and the status of the detection of the moving stick are introduced, and the Hough transform and the canny gradient are introduced to identify the movement of the object in the scene. By extracting the Canny gradient of the moving object, the Hough line detection is performed on the gradient image, and then the object is identified as a stick object. It can detect and alarm the stick like object in simple scene, so as to make sure the risk level of the sudden incident before we get to field. Finally, the feasibility of the algorithm is verified by simulation.
机译:引入了移动杆的检测的要求和状态,并引入了霍夫变换和罐内梯度以识别场景中对象的运动。通过提取移动物体的肉质梯度,对梯度图像执行霍夫线路检测,然后对象被识别为棒对象。它可以在简单的场景中像对象一样检测和报警,以确保在我们到达现场之前突然发生的风险水平。最后,通过模拟验证了算法的可行性。

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