摘要
在运动目标检测问题的研究中,针对图像处理中微弱运动目标检测与跟踪识别技术的特点,在简单分析了微弱运动目标检测跟踪的技术难点的基础上,重点对微弱运动目标的检测与跟踪算法展开了研究,为了对弱信号提高检测精度,采用图像预处理、目标特征的选取和目标跟踪三个步骤设计,对微弱运动目标在强噪声背景下的图像检测与跟踪识别算法,用给出具体的改进算法,通过仿真测试结果表明,算法具有较好的目标识别与检测效果,对于进一步提高微弱运行目标的图像检测的研究水平具有一定的借鉴意义。
Aiming at the features of weak moving target＇s detection and tracking identification technology, on the basis of introducing the difficult points of weak moving target＇s detection and tracking identification technology, the weak moving target＇s detection and tracking identification algorithm was discussed, and the detection and tracking i- dentification algorithm was analyzed in detail according with image pre - processing, selection of target feature and target tracking, and the algorithm method and its steps were also pointed out. The simulation result shows that the al- gorithm is effective to identify and detect for the tracing object. All this work is significative for enhancing the re- search level of weak moving target＇s detection and tracking identification technology.
出处
《计算机仿真》
CSCD
北大核心
2010年第4期245-247,255,共4页
Computer Simulation
关键词
微弱信号
运动目标
检测跟踪
Weak signal
Moving target
Detection and tracking
