摘要
提出一种利用视频序列的时域和空域信息进行多运动目标检测的新方法.首先对相邻的图像帧进行差分,并利用3σ准则二值化差分图像,得到运动目标的时域信息,然后标记该二值图像的连通区域来消除噪声,结合边缘检测所得到的空域信息得到运动目标模型,最后连接模型的最外围轮廓点即得到目标的完整信息.该算法充分运用了运动目标的时域、空域两方面信息,能够准确的提取出运动目标.
A new algorithm to detect the moving objects of video sequences based on time and spatial information is proposed in this paper. Firstly we operate the difference calculation to adjacent frames based on three-regulation, do binarization processing, so we can gain time information because of movement of the moving objects. Seoondly sign adjacent pixels of the bilingual picture to remove the polluted pixels, then we can get models of the moving objects with the help of spatial information resulting from edge detection. At last the integral information will be obtained after connecting the outmost pixels of the models. The algorithm will detect the moving objects precisely according to using of the time information in combination with the spatial information of the moving objects.
出处
《微电子学与计算机》
CSCD
北大核心
2010年第1期141-143,共3页
Microelectronics & Computer
关键词
图像分割
运动目标检测
边缘检测
运动目标提取
image segmentation
moving objects detection
edge detection
moving objects extraction
