Traffic Sign Recognition

Jacob Carlson Sean St. OngeAdvisor: Dr. Thomas L. Stewart

Traffic Sign Recognition Project Overview System Description Performance

Expectations Preliminary Work Schedule of Tasks

Traffic Sign Recognition Project Overview System Description Performance

Expectations Preliminary Work Schedule of Tasks

Traffic Sign Recognition

Object identification has many applications in various fields. This project aims to identify a traffic sign from a digital image. This would be useful in an autonomous vehicle application. These ideas and methods could also be used in other areas.

Traffic Sign Recognition

The overall objective of this project is to write a program what will identify a traffic sign from a digital photograph.

Traffic signs appear in diverse background situations and, at times, may be partially obscured.

The software should be able to function in spite of these issues.

Traffic Sign Recognition Project Overview System

Description Performance

Expectations Preliminary Work Schedule of Tasks

Traffic Sign Recognition

PreprocessApply Processing

AlgorithmsClassify Sign (if

present)

Highlight ImageRecommend

Appropriate Action

Traffic Sign Recognition

When the program is initialized, an image, previously saved on the system’s hard drive, is loaded for analysis.

At this point, some preliminary analysis will be performed, and preprocessing algorithms will be applied, if necessary.

Traffic Sign Recognition Once the image is adjusted as

needed, the software will apply the main image processing algorithms.

This portion of the program will gather and analyze color data, and will also perform edge detection.

Additional methods requiring further research may also be applied at this time.

Traffic Sign Recognition

If a sign is identified in the image, it will be classified.

After classification, the software will highlight the image or “area of interest”.

The software will then write pertinent data to either the screen or an output file.

Traffic Sign Recognition Project Overview System Description Performance

Expectations Preliminary Work Schedule of Tasks

Traffic Sign Recognition Sample calculation for real-time

implementation: Image size of 500x500 pixels. 250,000 data points time three color

planes. This gives 750,000 data points.

At 30 frames per second this equates to 22.5 million data points per second.

Traffic Sign Recognition

At 22.5 million data points per second the speed required for processing images is too ambitious for this project.

For this reason we will process discrete images only.

Traffic Sign Recognition Project Overview System Description Performance

Expectations Preliminary Work Schedule of Tasks

Traffic Sign Recognition

Design team has done preliminary research into the fundamentals of image processing.

Design team has completed several digital image processing tutorials and experimented with basic color detection.

Traffic Sign Recognition

Add color plane breakdown here.

Traffic Sign Recognition

Average intensity.

Traffic Sign Recognition Project Overview System Description Performance

Expectations Preliminary Work Schedule of

Tasks

Traffic Sign Recognition

Traffic Sign Recognition

If sufficient progress is made on this problem, the design team may also decide to apply some of these image processing algorithms to camouflage recognition.

Questions?