Image Processing Techniques used in Traffic Cameras
Request ID: FOI-4342-2324 Date published: 18 March 2024
You asked
Dear Sir or Madam,
My name is XXX and I am an undergraduate student at XXX, studying Computer Science. My project is titled ‘Image deblurring for improved Object Detection and Classification using Convolutional Neural Networks in traffic congestion control’ and aims to assess whether deblurring of images before inputting into a neural network would improve accuracy of the overall detection and classification capabilities of the system, particularly in traffic control systems.
I would like to know, if possible, which image processing techniques are currently used in TfL's roadside traffic cameras and specifically which deblurring algorithms (if any) are utilised.
This information will be vital for me to select an appropriate deblurring algorithm to use in my application.
Thank you in advance for any information you are able to provide.
We answered
Our ref: FOI-4342-2324/GH
Thank you for your request received by Transport for London (TfL) on 21 February 2024 asking for information about Image Processing Techniques used in Traffic Cameras.
Your request has been considered under the requirements of the Freedom of Information Act 2000 and our information access policy. I can confirm that we do hold the information you require.
We do not use any deblurring techniques or software as this is not permitted within the terms of the Certification for Approved Devices. We capture video as H.264 and do not manipulate the image.
If you are not satisfied with this response please see the attached information sheet for details of your right to appeal.
Yours sincerely
Graham Hurt FOI Case Officer FOI Case Management Team General Counsel Transport for London
