@article{Sinkevicius_Simutis_Raudonis_2011, title={Monitoring of Humans Traffic using Hierarchical Temporal Memory Algorithms}, volume={115}, url={https://eejournal.ktu.lt/index.php/elt/article/view/757}, DOI={10.5755/j01.eee.115.9.757}, abstractNote={The main purpose of this paper is to investigate the application of Hierarchical Temporal Memory (HTM) mechanism for humans traffic calculation in a public places using WEB cameras. The proposed approach distinguishes humans from other objects in a current video frame, identifies direction of movement and calculates balance of the humans’ traffic. As a result, all people entering and leaving room can be counted and information about people-traffic can be acquired. This information is very useful for further traffic monitoring and can be used for various traffic organization tasks. Ill. 10, bibl. 16, tabl. 1 (in English; abstracts in English and Lithuanian).<p><a href="http://dx.doi.org/10.5755/j01.eee.115.9.757">http://dx.doi.org/10.5755/j01.eee.115.9.757</a></p>}, number={9}, journal={Elektronika ir Elektrotechnika}, author={Sinkevicius, S. and Simutis, R. and Raudonis, V.}, year={2011}, month={Oct.}, pages={91-96} }