文件名称:BGM
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本文提出了一种静止摄像机条件下的运动目标检测与跟踪算法。 它以一种改进的自适应
混合高斯模型为背景更新方法,用连通区检测算法分割出前景目标,以 Kalman滤波为运动模型实现对运动目标的连续跟踪。在目标跟踪时,该算法针对目标遮挡引起的各种可能情况.-In this paper, a stationary camera under the conditions of the moving target detection and tracking algorithm. It is an improved adaptive mixed-Gaussian model for the background update method, connected areas of the prospect of partition detection algorithm targets to Kalman filtering model for the movement to realize the continuous tracking of moving targets. In target tracking, the algorithm for the target occlusion caused by a variety of possible scenarios.
混合高斯模型为背景更新方法,用连通区检测算法分割出前景目标,以 Kalman滤波为运动模型实现对运动目标的连续跟踪。在目标跟踪时,该算法针对目标遮挡引起的各种可能情况.-In this paper, a stationary camera under the conditions of the moving target detection and tracking algorithm. It is an improved adaptive mixed-Gaussian model for the background update method, connected areas of the prospect of partition detection algorithm targets to Kalman filtering model for the movement to realize the continuous tracking of moving targets. In target tracking, the algorithm for the target occlusion caused by a variety of possible scenarios.
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