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低信噪比条件下图像序列中运动点目标的检测涉及信息量大、目标运动轨迹组合复杂，是多维图像处理与目标识别领域的一个难点，实时处理更加困难。本文在基于分段复合的序贯检测算法基础上，设计出了使用投影累加与最大值投影有效结合进行分段复合的方法，整个算法层次分明、各层操作简单，适于流水处理。最后，本文还给出了该算法在一个简单的流水结构信息处理机上的实时处理途径，满足了一定的应用需求。
The low signal-to-noise ratio (SNR) detection of moving-point targets in image sequences involves a large amount of information and a complex combination of target motion trajectories. It is a difficult point in the field of multi-dimensional image processing and target recognition. Real-time processing is more difficult. In this paper, based on the sequential detection algorithm of piecewise composite, this paper designs a method of segment compounding by using the combination of projection summation and maximum projection effectively. The whole algorithm is well structured and each layer is easy to operate and suitable for water treatment. Finally, this paper also gives a real-time processing approach of the algorithm in a simple flow structure information processor to meet certain application requirements.