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A practical technique for moving object detection and tracking

机译:一种用于运动物体检测和跟踪的实用技术

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摘要

A method of achieving background is presented which detect the moving object with statistics from complex scene. Compared with other methods of achieving image background, this approach can achieve and update simultaneously background. The method of moving object detection has the advantages of simplicity in computation, strong resistance to noise. The state transition matrix and observation matrix of Kalman filter are then defined to track the detected object. The experiment indicates that the method proposed has stability of forecast.
机译:提出了一种实现背景的方法,该方法利用来自复杂场景的统计数据来检测运动对象。与实现图像背景的其他方法相比,该方法可以同时实现和更新背景。运动物体检测方法具有计算简单,抗噪声能力强的优点。然后定义卡尔曼滤波器的状态转移矩阵和观察矩阵以跟踪检测到的物体。实验表明,该方法具有预测的稳定性。

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