Detection and recognition of traffic signs
Research Project Goal
We have a large corpus of panoramic video that is geo-referenced. The video has been collected by a car instrumented with high-recision GPS and inertial sensors. The goal of this project is to detect
a subset of traffic signs (stop, yield, speed limit) encountered along the way in the front-facing view of the camera.
Research Project Scope
Design traffic sign detector, exploiting the knowledge of the traffic signs and the environment
context determining where the traffic signs appear.
Data
Video stream of the images acquired by a camera mounted on a car will be available. Sample sequence can be downloaded from here
Tasks
- Learn scale invariant model of the e.g. STOP sign (color can be also used as a cue here)
- Implement efficient detection algorithm. First you can brute forces search all possible windows
at all possible scales. In the second stage the knowledge where traffic signs appear in the images
can be used to either reduce the search or reject the false positives.
Research Project Status
student names here
Point of Contact
Jana Kosecka
Midterm Report
not yet submitted
Final Report
not yet submitted
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