摘要
提出了隔帧差分的概念 ,并将其应用于光流场算法中 ,用改造后的隔帧差分光流场算法成功克服了传统光流场算法的不足 (传统光流场算法不能识别帧间位移小于一个像元的运动目标 ) .进一步对光流场计算结果与原始图像进行灰度综合分析 ,使目标的探测更加准确 ,减少了虚警和误判 .采用不同间隔的序列差分构成并行识别系统结构 ,使整个系统能够探测各种不同速度的运动目标 .实验结果表明 :提出的运动目标检测算法能够准确有效地检测出不同速度的运动目标 .
A new conception named Discontinuous Frame Difference was proposed, and it was applied in the optical flow field algorithm. The modified optical flow field algorithm successfully overcame the shortcoming of the classical optical flow field method that couldn't detect the object whose displacement was less than one pixel between two continuous frames. The result of the optical flow field algorithm was integrated with its original images to further accurately analyze the moving object, increasing the probability of detection and decreasing the susceptability of the false alarms. The discontinuous frame difference optical flow field algorithm can be composed of the parallel structure system, which can detect different kinds of moving objects with different velocities. The experiment result displayed that the algorithm proposed in this paper can accurately and validly detect different kinds of objects with different velocities.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2003年第2期182-186,共5页
Acta Photonica Sinica
基金
中国科学院创新基金项目与"十五"项目 (86 3 2 0 0 2AA7312 6 4)资助
关键词
隔帧差分
光流场
运动目标
边缘检测
Discontinuous frame differensce
Optical flow Field
Moving target
Edge detection
