基于TMS320C6455的弱小运动目标的检测跟踪算法的研究  

Research on Detecting and Tracking Algorithm of Small Moving Targets Based on TMS320C6455

作　　者：王子瑜 张长江[1] 周军华[1] 李强[1] WANG Ziyu;ZHANG Changjiang;ZHOU Junhua;LI Qiang(The 27th Research Institute of China Electronics Technology Group Corporation,Zhengzhou 450000)

机构地区：[1]中国电子科技集团公司第二十七研究所,郑州450000

出　　处：《舰船电子工程》2022年第11期37-39,54,共4页Ship Electronic Engineering

摘　　要：论文以DSP芯片TMS320C6455为基础,采用偏微分因子和帧间差分因子相结合的弱小运动目标的检测跟踪算法,并对算法进行改进。首先将一副图像均分成大小相同的块,然后将图像块依次导入芯片内,分别对每块图像进行运算并存储结果,这样有效地解决了片内空间不足的问题;随后在跟踪模式下,对跟踪算法进行改进,在搜索到目标以后,以目标的为中心,得到一个感兴趣区域。为了满足目标跟踪的准确性和完备性,论文采用在一块图像进行感兴趣跟踪,同时在相邻的图像块进行全局搜索的方法。试验结果表明,论文采用的改进算法,不仅降低了算法的时间复杂度和空间复杂度,而且提高了跟踪目标的准确性。Based on TMS320C6455,the partial differential factor and inter-frame difference factor are adopted and improved in the paper. Firstly,an image is divided into blocks of the same size. And then the blocks are imported into the chip from the off-chip in turn. Each block is computed and the result is stored. This method solves the problem of insufficient chip storage space effectively. Then a more efficient tracking method is proposed in the tracking mode. A region of interest is obtained based on the target coordinates after searching. In order to meet the accuracy and completeness of the tracking,the paper conducts a search of interest in a block and performs a global search on adjacent block. Experimental results show that the improved algorithm not only reduces the time and space complexity,but also improves the accuracy of tracking targets.

关 键 词：TMS320C6455 检测跟踪算法 时间复杂度 空间复杂度 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]