基于小波提升的变模板视频多尺度目标识别  

Multi-scale variable template target detection in image sequence based on lifting scheme

作　　者：崔星[1] 闫清东[1] 

机构地区：[1]北京理工大学机械与车辆工程学院,北京100081

出　　处：《计算机应用研究》2007年第12期390-392,共3页Application Research of Computers

基　　金：国防重点实验室基金资助项目(00JS37.2.1.JB6101)

摘　　要：为了快速有效地解决图像序列中移动目标的识别定位,提出了一种基于互相关的目标检测算法。该算法经小波提升建立低分辨率子图,通过快速的互相关检测,在高分辨率原图中建立紧凑ROI。为了适应运动目标变形,整个检测过程以互相关运算极大值为依据,更新目标模板。实验结果表明,在满足检测速度的同时,算法对目标的识别有较高的精度与鲁棒性。To detect a. moving target in a video rapidly and accurately, proposed a target detection algorithm based on correlation. It constructed decomposition images by lifting scheme, and a correlation calculation can build a compact region of interest in the high resolution image rapidly. To apply this algorithm to deformable target detection, the target template would be up- date when the correlation level was below the threshold. Experimental results show that the algorithm has a good validity and robustness in target detection.

关 键 词：机器人 目标识别 小波变换 提升算法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]