本论文采取了一种基于运动补偿与自适应背景更新来检测动态场景中的运动目标。

This thesis adopts motion compensation and adaptive background updates to detect the target motion in dynamic scenes.

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提出一种基于对称帧间差分与背景减除相结合的运动目标检测和自适应背景更新方法。

In this paper, a new method of moving-people detection based on fusion of coterminous frames differencing and background subtraction is proposed.

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在特征提取方面，提出了一种自适应背景更新的差分运动检测算法，该算法在运动对象轨迹的检测中对背景的抖动和光照条件的变化具有较好的鲁棒性。

In feature extraction, a difference motion detection algorithm of adaptive background updating is proposed, which has a good robustness to the changing of background and illumination.

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