智能跟踪系统中目标阴影消除算法的研究与应用

摘要

研究了阴影消除算法在基于DSP处理器的智能跟踪系统中的应用。在应用中加入了快速填充与噪声消除算法以提高阴影消除的准确性。为了提高系统的实时性,对于阴影消除又采取了一定的优化措施。这些方法适用于有流水线处理特征的微控制器和微处理器。实验表明,这种方法能够实现高速运转且可以有效地减少CPU占用率。%The shadow suppression algorithm in intelligent tracking system based on DSP processor is dis- cussed. Rapid filling and noise cancellation algorithm is added to improve the accuracy of the shadow suppres- sion. The optimization measures is applied for shadow suppression in order to improve the real-time system. Algorithm-level optimization reduced the complexity of the algorithm, and program-level and instruction-level optimization is relevant to processing chip features. These methods are suitable for microprocessors and micro- controllers with line processing characteristics. Experiments show that this method can achieve high-speed op- eration and is effective in reducing CPU utilization.