NDLI: Moving human detection algorithm based on Gaussian mixture model

Content Provider	IEEE Xplore Digital Library
Author	Li Li Xu Jining
Copyright Year	2010
Description	Author affiliation: College of Mechanical and Electrical Engineering, North China University of Technology, Beijing 100144, China (Li Li; Xu Jining)
Abstract	In order to realize accurate detection of moving human in complex and cluttered scene and eliminate the influences of moving shadow, an adaptive moving human detection algorithm based on Gaussian mixture model is presented. This algorithm employs Gaussian mixture distribution in modeling background of each pixel and an on-line approximation to update the model. The moving human region is detected by background subtraction. The shadow detection and elimination is implemented in the HSV space, and finally morphological operations are introduced to eliminate noise and reconstruct moving human regions. The results show that the method models stable background, eliminates shadow, and has a good detection result.
Starting Page	2853
Ending Page	2856
File Size	143050
Page Count	4
File Format	PDF
ISBN	9781424462636
e-ISBN	9787894631046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Association of Aut
Subject Keyword	Gaussian Mixture Model Background Subtraction Image color analysis Moving Human Detection Computational modeling Adaptation model Humans Gaussian distribution Pixel Image reconstruction
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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