A Fast Target Tracking Algorithm Basted on Connected Component Labeling and Grey Value Statistics
作者单位：School of Information and ElectronicsBeijing Inst. Of Technology
会议名称：《2012年计算机应用与系统建模国际会议》
会议日期：2012年
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
关 键 词：Infrared small target Connected component labeling Grey value statistics Real-time performance
摘 要：A fast target tracking algorithm based on connected component labeling and grey value statistics is proposed. First of all, nonlinear transformation is applied to perform enhancement for targets;and then adaptive threshold is applied to perform pre-processing division for the images;finally, target characteristics which are extracted through connected component labeling and grey value statistics are used to match the gray, the area and position of target, then pinpointing the target. Experimental results on the MATLAB software platform and the SOPC hardware platform show that it can perform real-time track accurately for the infrared small targets.