Motion Detection Based on Improved Sobel and ViBe Algorithm | |
Yujia Zhang1,2; Xiaoguang Zhao1,2; Min Tan1,2 | |
2016-07 | |
会议日期 | 2016-7 |
会议地点 | Chengdu, China |
英文摘要 | 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. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/23651] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
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 |
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]. 见:. Chengdu, China. 2016-7. |
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