摘要
提出了一种新的滞留与搬移物体的检测分类算法。该算法利用背景差法获得前景图像,然后进行二值化和形态学处理,再和背景帧进行比较来对滞留和搬移物体进行检测和分类。实验结果表明该检测算法具有较高的正确率和鲁棒性。
A new detection and classification algorithm for abandoned and moved objects is proposed in this paper. This new algorithm uses the background subtraction method to get the foreground image, and then gets the binary image using threshold value and makes the morphology, processing. The algorithm compares the binary image with the background frame to classify the objects into abandoned and moved. The experiment results show that the algorithm has high correct rate and robustness.
出处
《电视技术》
北大核心
2008年第12期86-88,91,共4页
Video Engineering
关键词
智能视频
滞留与搬移
背景差法
形态学处理
intelligent surveillance
abandoned and moved
background subtraction method
morphology processing
