Automatic Measurement and Differentiation of Traffic Volume Count
| Autor: | S Joseph, Shilpa Joshy, K Catheren, G. Sushanth |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Measure (data warehouse)
Foreground detection Computer science Detector Feature extraction Real-time computing 020206 networking & telecommunications 02 engineering and technology Video processing Blob detection Statistical classification 0202 electrical engineering electronic engineering information engineering MATLAB computer computer.programming_language |
| Zdroj: | 2018 International Conference on Communication and Signal Processing (ICCSP). |
| DOI: | 10.1109/iccsp.2018.8524149 |
| Popis: | Traffic volume in India is growing drastically over the past few decades. This leads to an increased need of constructing more highways and underpasses. In order to have the definite knowledge of traffic volume, and to design the width and thickness of the pavements, periodical conduction of traffic census is necessary. At present, the evaluation of traffic volume is conducted manually. This system is tiresome and lacks accuracy. The data obtained from the traffic census decides the sanction of new highways, underpasses, or flyovers which involves huge investments. Hence, the accuracy of this data is very critical. In this paper, we propose an automatic tool that helps to measure the traffic volume and differentiate the vehicles using video processing tools in MATLAB. The proposed algorithm consists of the following steps: (i) Foreground Detection (ii) Blob Detection (iii) Blob Analysis (iv) Vehicle differentiation & Counting. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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