This paper discusses detection and tracking of moving human target from static background in video sequences.
本文对静止背景下视频序列中的运动人体检测和跟踪方法进行了研究。
An approach of background estimation is presented using characters of random variable moments and applied in moving object detection under static background.
利用随机变量的各阶矩的性质，构造了一种基于高阶统计量的背景估计方法，并将其应用于静态背景下的运动目标检测。
Then an adaptive filter is designed to extract the motion energy and pick out the frequency components of static background and noises, and the moving targets can be detected effectively.
给出了一种提取主运动能量的自适应滤波算法，通过剔除背景和噪声的频率成分，有效地检测出运动目标。
Experimental results demonstrate that this method can effectively separate the video object from the sequence with static background and has the strong robustness.
实验结果证明，该方法能够从背景不变的图像序列中较好的提取出运动对象，具有较强的鲁棒性。
The key techniques of automatic target identification in non-tracking emplacement reconnaissance radar are static background clutter processing and identification of target signals.
基于背景杂波的处理和目标信号的识别，讨论了非跟踪体制炮位侦察雷达目标的自动识别问题。
The key techniques of automatic target identification in non-tracking emplacement reconnaissance radar are static background clutter processing and identification of target signals.
基于背景杂波的处理和目标信号的识别，讨论了非跟踪体制炮位侦察雷达目标的自动识别问题。
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