The Effectiveness of Traffic Sign Detection and Recognition

1
The Effectiveness of Traffic Sign Detection and
Recognition

• INFSCI 2300
• Human Information Processing
• Yi-Chi Lin

2
Human Visual System

• Bottom-up processing (data-driven)
• what we see is determined by the external
  stimulation
• Top-down processing (conception-driven)
• our expectation helps to interpret the incomplete
  input
• Context effect
• object recognition is meaningful, not just based
  on single information

3
Human Visual System

• See an Object
• Propose a hypothesis
• Match Features
• Matched ? human visual system will find more
  proof to support this hypothesis
• Not matched ? human visual system will modify the
  hypothesis and seek for proof to verify it

4
Traffic Sign Recognition Flow
5
Traffic Sign Features

• Color Cue
• Red signs mean stop or use caution.
• Yellow signs with black lettering are used to
  warn you that you are coming to a hazardous area
  or an area with special rules.
• Orange signs with black lettering are used in
  areas where there is road construction.
• Green signals mean go. Green signs with white
  lettering show the directions and distances to
  different places.
• Blue signs show information, like the route to a
  hospital or where camping is available.
• Shape Cue
• Triangle, Circle, Rectangle, Octagon, Diamond
• Inner Icon
• Graph or Letters Based on personal knowledge
  stored in memory

6
Traffic Sign Detection

• The detection of colors, graphs and words will be
  affected by the sight of light (night time, too
  much sun)
• Shape
• no vertices vertices
  vertices vertices
• vertex on 2, 4, 6, 8 on the
  lines on 2, 7, 9 on 1, 3, 7, 9

7
Conclusion

• In the great-vision condition, the effective way
  to recognize the traffic sign is determining the
  graphs or reading the words.
• In the condition with interference (ex. bad
  weather), the most effective way is determining
  the shape, and then combining with the color and
  graph meaning.

8

• Thank You!