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Tracking and counting human
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D isguise to surveillance system. The counting of people passing through a surveillance area is an important issue of this domain. It always relies on the process of background subtraction. The estimation of dynamic background model and the shadow removal are two main challenges of background subtraction. In
this paper, a bi-directional people counting algorithm is proposed. To develop a robust counting system, Gaussian mixture model (GMM) is used to describe the background 
janvi895517 2016-08-23
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Counting humans from video surveillance
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This paper presents a multiple people counting using only single camera, entering or exiting in a region of
interest. Sigma-Delta background modeling and subtraction is used to segment the people from region. Background subtraction provides blobs as a result with connected component. CG of blobs was used to track and count the entry and exit of people. This paper also proposed method for counting two or more people
based on blob size and distance between floor and camera. People will be counted if and only if they passed through the three regions consecutively
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Copy move image forgery detection using SIFT
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With advances in technology and easy access to imaging tools, it's not difficult to hide or create misleading images one day in order to manipulate digital images.
janvi895517 2 57
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