Counting and tracking people in a smart room: An IoT approach
Dimitris Sgouropoulos, Evaggelos Spyrou, Giorgos Siantikos, Θεόδωρος Γιαννακόπουλος · 2015
In this paper we present an approach for counting and tracking people participating in a meeting that takes place in a smart room. The sensing and processing modules are incorporated within the context of an IoT framework, that follows a message oriented architecture. The proposed algorithm consists of a motion detection module, a background subtraction module, a people counting module and a tracking module, while its output is primarily used as input to a decision making module that controls the room's environment. We show that we may achieve satisfactory results, using simple low resolution cameras. We evaluate our method using a publicly available, real world data set. Experimental results on real life meetings indicate the effectiveness of our approach.