NDLI: Efficient Multi-Layer Background Model on Complex Environment for Foreground Object Detection

Content Provider	IEEE Xplore Digital Library
Author	Wen-kai Tsai Ming-hwa Sheu Chung-chi Lin
Copyright Year	2010
Abstract	This paper proposes an establishment of multi-layer background model, which can be used in a complex environment scene. In general, the surveillance system focuses on detecting the moving object, but in the real scenes there are many moving background, such as dynamic leaves, falling rain etc. In order to detect the object in the moving background environment, we use exponential distribution function to update background model and combine background subtraction with homogeneous region analysis to find out foreground object. The system uses the TI TMS320DM6446 Davinci development platform, and it can achieve 20 frames per second for benchmark images of size 160 × 120. From the experimental results, our approach has better performance in terms of detection accuracy and similarity measure, when comparing with other modeling techniques methods.
Starting Page	292
Ending Page	295
File Size	339489
Page Count	4
File Format	PDF
ISBN	9781424483785
DOI	10.1109/IIHMSP.2010.80
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-15
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Analytical models Computational modeling Adaptation model Object detection Signal processing object detection background modeling Pixel
Content Type	Text
Resource Type	Article

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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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