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Assignment Project title: Traffic Sign Detection and Recognition In this project, our aim is to detect traffic signs using combination of traditional computer vision techniques.
Assignment
Project title: Traffic Sign Detection and Recognition
In this project, our aim is to detect traffic signs using combination of traditional computer vision
techniques. Four tasks are as follows:
Color Segmentation: Identify regions of interest ROI likely containing traffic signs based
on predefined color ranges eg red for stop signs, yellow for caution signs
Edge Detection: Apply edge detection algorithms eg Canny Edge Detection to extract
prominent edges in the ROI to better define the sign's shape.
Template Matching: Prepare templates of common traffic signs scaled and normalized
for size variations Use template matching techniques to compare the ROl's edges with
the templates and identify potential matches.
Shape Analysis: Implement simple shape analysis eg aspect ratio, corner count to
further refine potential matches and eliminate false positives based on nonstandard
shapes.
Note that you should not use deep learning based techniques
There will be a bounus point if you run it in realtime and get high FPS with the same
accuracy using a connected camera to a laptop
Completely Al generated projects will not get the grade Al detector will be used You can use Al in
different steps.
Good luck
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