The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 53-178
Full Name: Srinivasan Karuppanan
Position: Assistant Professor
Age: ON
Sex: Male
Address: SRI RAMAKRISHNA ENGINEERING COLLEGE
Country: INDIA
Tel: 9994131400
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Fax:
E-mail address: srineekvasan@gmail.com
Other E-mails: srinee_k@rediffmail.com
Title of the Paper: Background Subtraction of Video Sequences using Modified Frame Differencing Algorithm for Indoor Surveillance Applications
Authors as they appear in the Paper: Srinivasan.K, Porkumaran.K, Sainarayanan.G
Email addresses of all the authors: srineekvasan@gmail.com, porkumaran@gmail.com, drsai@ieee.org
Number of paper pages: 13
Abstract: The detection of moving objects from video sequences is very important for object tracking, object focusing, and activity analysis in video surveillance applications. In this, background subtraction plays a vital role in implementing such applications. The objective of the paper is to extract the foreground image by subtracting the background image. Along with the frame differencing method, Automatic Threshold Update (ATU) and Discrete Wavelet Transform (DWT) are introduced for the background subtraction. In our approach, Automatic Threshold Update (ATU) and Discrete Wavelet Transform (DWT) and the combination of these two (ATU+ DWT) are included in the frame differencing method. The Gray scale and RGB computations are evaluated with the help of eight methods for dim light and bright light videos. Finally, automatic threshold updation, precision, recall, accuracy and run time for the proposed methods are analyzed for pre-defined indoor videos.
Keywords: Video surveillance, Background subtraction, Frame difference, Discrete wavelet transform, Pre-processing.
EXTENSION of the file: .pdf
Special (Invited) Session:
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How Did you learn about congress: Image motion / sequence / video ,Image analysis and segmentation ,Image representation and modeling
IP ADDRESS: 117.197.189.254