A Review of the Advances in Population Estimation and Human Behaviour Estimation Using Computer Vision and Mobile Phone Data

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-46 Number-1
Year of Publication : 2017
Authors : Anurag Unnikrishnan, Anshuman Narayan, HS Guruprasad


Anurag Unnikrishnan, Anshuman Narayan, HS Guruprasad "A Review of the Advances in Population Estimation and Human Behaviour Estimation Using Computer Vision and Mobile Phone Data". International Journal of Computer Trends and Technology (IJCTT) V46(1):37-41, April 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Owing to the population boom in the past decade, the need for efficient and accurate crowd control techniques have risen by the dozen. To prevent violent riots and stampedes, these techniques can provide useful insight into crowd density and location and can help the authorities in channelling their resources efficiently. This paper is a survey of all the various techniques that incorporate computer vision and mobile traffic data analysis. An understanding of these is vital in establishing a formidable crowd control model.

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computer vision, GLCM, textural classifier, GPS.