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Automated Video Surveillance for Retail Store Statistics Generation

  • N. Avinash
  • M. S. Shashi Kumar
  • S. M. Sagar
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 221)

Abstract

Video Surveillance Systems have gained immense popularity in the recent past because of the fact that it can be used in numerous real-world scenario applications. Monitoring the people flow pattern as well as counting them serves as valuable information in many surveillance related applications. In this paper we propose a system that is used for counting the number of people passing through the camera field of view. A single overhead camera is used to get a clear top-view which avoids occlusions. For background subtraction, running Gaussian approach has been used as a preprocessing step, to facilitate the further segmentation and tracking procedures. Connected component analysis is used to group the similar blobs together followed by intensity based correlation for blob matching followed by Kalman tracking. The percentage of blobs that crosses a reference line is recorded. Two counters are incremented depending on the direction of movement of the blobs and the algorithm is able to count the number of people moving up/down the scene.

Keywords

Running Gaussian approach Kalman tracker Connected component analysis Intensity based correlation 

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Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Wittybot TechnologiesBangaloreIndia
  2. 2.Manipal Centre for Information Science (MCIS)ManipalIndia

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