Even though filtering objects in video scenes using linear filters has been an active research field for many years, the presented results have been more focused on theory than on application, which is mainly due to the high computational complexity of the developed filter structures that former computer systems could not process in real-time. Particularly due to high product quantities and high competition, computation costs of applications like object detection in driver assistance systems, for instance, still have to be as small as possible. This work is focused on 3-D linear shift invariant (LSI) filters targeting the separation of signals due to different directional components. We have implemented wave digital filters with low complexity and therefore low hardware requirements with the aim of developing a cost efficient real-time object detection system. The developed filters have been both simulated using Simulink Fixed Point and implemented on a Xilinx Spartan 3E FPGA Board. Experiments have shown promising results underlining the potential of motion-based object detection to lead to new and effective methods in driver assistance system development.
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机译：尽管使用线性过滤器过滤视频场景中的对象已经是多年的有效研究领域，但呈现的结果比在申请中更专注于理论，这主要是由于前计算机发达过滤器结构的高计算复杂性是由于前计算机的高计算复杂性系统无法实时处理。特别是由于高产品数量和高竞争，例如，驾驶员辅助系统中的物体检测等应用的计算成本仍然必须尽可能小。这项工作专注于3-D线性移位不变（LSI）滤波器，其针对由于不同的方向分量而定的信号分离。我们已经实现了具有低复杂性的波数字过滤器，因此低硬件要求，目的是开发成本有效的实时对象检测系统。已经使用Simulink固定点模拟开发的滤波器并在Xilinx Spartan 3E FPGA板上实现。实验表明有前途的结果强调了基于运动的物体检测的潜力，以导致驾驶员辅助系统开发中的新和有效方法。
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