CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
Motion Detection Based on Improved Sobel and ViBe Algorithm
Yujia Zhang1,2; Xiaoguang Zhao1,2; Min Tan1,2
2016-07
Conference NameChinese Control Conference
Conference Date2016-7
Conference PlaceChengdu, China
Abstract

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.

Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23651
Collection复杂系统管理与控制国家重点实验室_先进机器人
Corresponding AuthorYujia Zhang
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yujia Zhang,Xiaoguang Zhao,Min Tan. Motion Detection Based on Improved Sobel and ViBe Algorithm[C],2016.
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