The main purpose of this paper is to investigate the application of Hierarchical Temporal Memory (HTM) mechanism for pedestrian traffic calculation in a public places using WEB cameras. The proposed approach distinguishes humans from other objects in a current video frame, identifies the movement in both directions and calculates balance of the pedestrians’ traffic. The proposed methodic can be used even for wider passage-ways. As a result, all people entering and leaving room can be counted and information about pedestrian-traffic can be acquired in real time. This information is very useful for further traffic monitoring and can be used for various tasks.

Raktažodžiai: object recognition, movement tracking and classification, Hierarchical Temporal Memory method, computer vision