Knowledge Commons of Institute of Automation,CAS
Motion Detection Based on Improved Sobel and ViBe Algorithm | |
Yujia Zhang1,2; Xiaoguang Zhao1,2; Min Tan1,2 | |
2016-07 | |
会议名称 | Chinese Control Conference |
会议日期 | 2016-7 |
会议地点 | Chengdu, China |
摘要 | Motion detection plays a crucial role in most video based applications. A particular background subtraction technique called ViBe (Visual Background Extractor) is commonly used to obtain foreground objects from the background due to its high detection rate and low computational complexity. However, the performance is not very satisfying. Therefore, this paper presents an improved ViBe algorithm to increase the accuracy and robustness of motion detection. Specifically, a foreground feature map is created by optimizing the result of ViBe algorithm. Then the edge detection of the original video frames is achieved after pre-sharpening using improved Sobel operator and Otsu algorithm. Finally, by feature fusion (of the foreground and background feature maps) and contour filling, the motion detection results can be obtained. The experiments demonstrate the improvements of the proposed modifications at a limited additional cost. |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23651 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
通讯作者 | Yujia Zhang |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yujia Zhang,Xiaoguang Zhao,Min Tan. Motion Detection Based on Improved Sobel and ViBe Algorithm[C],2016. |
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