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Design of traffic light identification scheme based on TensorFlow and HSV color space
| Content Provider | Scilit |
|---|---|
| Author | Wang, Xiaoqiang Cheng, Xianghui Wu, Xue Zhou, Huili Chen, Xiai Wang, Lin |
| Copyright Year | 2018 |
| Description | Journal: Journal of Physics: Conference Series This paper proposes an effective traffic light identification scheme based on TensorFlow API and HSV color space. The program uses a distortion-corrected wide-angle camera to collect the road images in real time and utilizes the RCNN target detection interface, which is provided by the Google TensorFlow framework, to track the precise bounding box of the traffic light in the image. The obtained corner information is recorded for cropping ROI image from the original. Then using Open CV to smooth the ROI image and enhance the contrast. After converting the ROI image from BGR to HSV color space, the result of the traffic light can be consulted on the H channel according to the area of the connected domain. |
| Related Links | http://iopscience.iop.org/article/10.1088/1742-6596/1074/1/012081/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1074/1/012081 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1074 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-09-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Hardware and Architecture Hsv Color Space Traffic Light |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
