| Title |
Pėsčiųjų srauto monitoringas hierarchinės laikinės atminties atpažinimo algoritmų pagrindu |
| Translation of Title |
Monitoring of Pedestrian Traffic Using Hierarchical Temporal Memory Algorithms. |
| Authors |
Sinkevičius, Saulius |
| Full Text |
|
| Pages |
92 |
| Keywords [eng] |
object recognition ; movement tracking and classification ; Hierarchical Temporal Memory method ; computer vision |
| Abstract [eng] |
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. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2011 |
