Monitoring of Humans Traffic using Hierarchical Temporal Memory Algorithms
AbstractThe 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).
How to Cite
The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.
By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.