Image Based Vehicle Traffic Measurement
This research deals with measurement of the density of vehicles traffic. The traffic density is estimated from an image captured using the ordinary optical camera. An image processing methods is used and the edge of the objects is extracted. A two dimensional wavelet transform is used as a feature e...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Unviversity of Technology- Iraq
2014-10-01
|
| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_100023_1092d92abde26e4159227999b12512e5.pdf |
| _version_ | 1797325677553254400 |
|---|---|
| author | Hamid M. Hasan |
| author_facet | Hamid M. Hasan |
| author_sort | Hamid M. Hasan |
| collection | DOAJ |
| description | This research deals with measurement of the density of vehicles traffic. The traffic density is estimated from an image captured using the ordinary optical camera. An image processing methods is used and the edge of the objects is extracted. A two dimensional wavelet transform is used as a feature extraction. The extracted features were reduced by Multiple Region Centroid Estimation. A neural network is trained using many sets of images with different Traffic densities then it is used for traffic measurement. A classification rate of 98% can be achieved. |
| first_indexed | 2024-03-08T06:12:50Z |
| format | Article |
| id | doaj.art-d4c7b25ec0674f489fafda60ee974c3a |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:12:50Z |
| publishDate | 2014-10-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-d4c7b25ec0674f489fafda60ee974c3a2024-02-04T17:31:37ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582014-10-0132112722273310.30684/etj.32.11A.10100023Image Based Vehicle Traffic MeasurementHamid M. HasanThis research deals with measurement of the density of vehicles traffic. The traffic density is estimated from an image captured using the ordinary optical camera. An image processing methods is used and the edge of the objects is extracted. A two dimensional wavelet transform is used as a feature extraction. The extracted features were reduced by Multiple Region Centroid Estimation. A neural network is trained using many sets of images with different Traffic densities then it is used for traffic measurement. A classification rate of 98% can be achieved.https://etj.uotechnology.edu.iq/article_100023_1092d92abde26e4159227999b12512e5.pdftraffic measurementedge detectiond waveletmrceneural network |
| spellingShingle | Hamid M. Hasan Image Based Vehicle Traffic Measurement Engineering and Technology Journal traffic measurement edge detection d wavelet mrce neural network |
| title | Image Based Vehicle Traffic Measurement |
| title_full | Image Based Vehicle Traffic Measurement |
| title_fullStr | Image Based Vehicle Traffic Measurement |
| title_full_unstemmed | Image Based Vehicle Traffic Measurement |
| title_short | Image Based Vehicle Traffic Measurement |
| title_sort | image based vehicle traffic measurement |
| topic | traffic measurement edge detection d wavelet mrce neural network |
| url | https://etj.uotechnology.edu.iq/article_100023_1092d92abde26e4159227999b12512e5.pdf |
| work_keys_str_mv | AT hamidmhasan imagebasedvehicletrafficmeasurement |