Importance

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Abstract

Robust crowd counting is an important yet challenging task of interest in a number of applications and is compounded by the fact that crowd behavior is unpredictable. Traditional approaches that tackle these issues are mainly classified into two categories: video based recognition and non-image based localization. However, both suffer inherent drawbacks such as being limited to line-of-sight or requiring people to carry specific electronic devices which limit them even within relatively well controlled environments without considering public locations or rapidly emerging events. Accordingly, it would be beneficial to provide a system that implements a device free crowd counting methodology with no impact on network capacity and/or performance.

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First Claim