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Design of real-time multi-targets recognition system

机译:实时多目标识别系统设计

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摘要

To detect and recognize multi-targets in the sequence image tracking system a new method is proposed. Moving targets were separated from the background by difference of multi-frame. According to the dynamic threshold table the image was made binary, then invariant characteristics were extracted from every target. These characteristics were used for recognition of targets by BP neural network. The result of computer simulation shows that the method is practical and has high speed in detection and recognition for moving multi-targets.
机译:为了检测和识别序列图像跟踪系统中的多目标,提出了一种新的方法。通过多帧的差异将运动目标与背景分离。根据动态阈值表将图像二值化,然后从每个目标中提取出不变特征。这些特征用于通过BP神经网络识别目标。计算机仿真结果表明,该方法是可行的,能够快速检测和识别移动多目标。

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