Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes
- 6 October 2016
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3952, 159-162
Abstract
This thesis is devoted to development of visitor's queue density analysis and registration method for a retail videosurveillance systems. Developed method of foreground segmentation is based on initial background modeling, selective temporal median filter and local binary patterns. Based on the literature review, a problem statement has been examined and investigated. Basic methods and their limitations were also analyzed. Software application, that was developed to implement segmentation method and test results shows that method increases an objects of interest segmentation quality and also has an improved segmentation efficiency by minimizing an impacts of illumination and micromovements in an area of interest.Keywords
This publication has 13 references indexed in Scilit:
- Asymptotic Method of Traffic Simulations2014
- Privacy preserving crowd monitoring: Counting people without people models or tracking2008
- Estimating pedestrian counts in groupsComputer Vision and Image Understanding, 2008
- Information Encoding Method of Combinatorial Optimization2006
- Human Detection Using Oriented Histograms of Flow and Appearance2006
- A MRF-based approach for real-time subway monitoring2005
- Pedestrian Detection in Crowded Scenes2005
- DCT based segmentation applied to a scalable zenithal people counter2004
- Real-time high density people counter using morphological tools2002
- Example-based object detection in images by componentsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2001