A Fast Target Tracking Algorithm Basted on Connected Component Labeling and Grey Value Statistics

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 infiared small targets.

关键词： Infrared small target Connected component labeling Grey value statistics Real-time performance

作者: Liu Qing Tang Linbo Zhao Baojun Sun Jingle

作者单位: School of Information and Electronics, Beijing Inst. Of Technology

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1267-1270

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）