Monitoring of Humans Traffic using Hierarchical Temporal Memory Algorithms

Authors

  • S. Sinkevicius Kaunas University of Technology
  • R. Simutis Kaunas University of Technology
  • V. Raudonis Kaunas University of Technology

DOI:

https://doi.org/10.5755/j01.eee.115.9.757

Abstract

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).

http://dx.doi.org/10.5755/j01.eee.115.9.757

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Published

2011-10-25

How to Cite

Sinkevicius, S., Simutis, R., & Raudonis, V. (2011). Monitoring of Humans Traffic using Hierarchical Temporal Memory Algorithms. Elektronika Ir Elektrotechnika, 115(9), 91-96. https://doi.org/10.5755/j01.eee.115.9.757

Issue

Vol. 115 No. 9 (2011)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

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