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The Implementation of Shadow Suppression in Intelligent Tracking System

机译:智能跟踪系统中暗影抑制的实现

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This paper aims to describe the implementation of shadow suppression algorithm in an intelligent tracking system based on multimedia Digital Signal Processor (DSP). In our application, the fast filling and noise elimination algorithm is added to improve the accuracy of shadow suppression. In order to achieve real-time performance, several optimization techniques have been applied to shadow suppression. The algorithm level optimization simplifies the complexity of the algorithm. The program level and instruction level optimization are inspired by the characteristic of the processor chip. These methods might be general-propose for the MCUs or CPUs with pipeline feature. Experimental results show that the optimization greatly reduces the CPU load and contributes more time to the future work.
机译:本文旨在描述基于多媒体数字信号处理器(DSP)的智能跟踪系统中暗影抑制算法的实现。在我们的应用中,添加了快速填充和噪声消除算法以提高暗影抑制的准确性。为了实现实时性能,若干优化技术已应用于阴影抑制。算法级优化简化了算法的复杂性。程序级别和指令级优化是由处理器芯片的特性的启发。这些方法可能是普遍的 - 用于带有管道功能的MCU或CPU。实验结果表明,优化大大减少了CPU负荷,并为未来的工作提供更多时间。

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