Abstract

Recently, crowd estimation techniques in real-time are more popular research field using computer vision. here understand the behavior of the system using Linear Quadratic Estimation or kalman filter with new proposed index parameter which will help to understand the accuracy of the system still no more parameter discover to judge the accuracy of the system which is us to estimate the crowd or tracking the crowd. Crowd estimation does play an very critical role in intelligent crowd monitoring. All results have been implemented in MATLAB R2013.

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