Real time traffic sign analysis

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Real Time Traffic Sign Analysis- This subject deals with Recognition and Detection of Traffic sign by Image Processing Techniques...

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Real time traffic sign analysis

  1. 1. REAL TIME TRAFFIC SIGN ANALYSIS Presented By- Rakesh Ravaso Patil T CO ‘B’ 12276 Guided By- Ms. P. P. Lokhande
  2. 2. Overview Introduction Traffic sign analysis  Color segmentation  Edge detection  Shape based detection Recognition  Binary Thresholding  Recognition and Matching using IPP Recognition of traffic signs using FPGA hardware How TSR is works? Conclusion
  3. 3. INTRODUCTION Advanced Driver Assistance Systems (ADAS)  Lane Departure Warning  Night Vision  Automatic Parking  Blind Spot Detection  Traffic Sign Recognition First used In  BMW 7 Series  Volkswagen Phaeton
  4. 4. WHY WE REQUIRE THIS? Sleepy driver crashes SUV on Mumbai-Pune Expressway, 7 passengers killed. (TOI, March 5) Human error behind most Expressway mishaps. (TOI, March 5) In 2012, the expressway, witnessed 475 accidents in which 105 people died. MSRDC plan:  Trauma Care & Copter Service  CCTV Cameras  Truck Terminals  Reducing U-Turns
  5. 5. TRAFFIC SIGN Possible Sign Type Sign Shape (Border) Colors Triangle, Restricting & Red, Blue, Black Rectangle, Octagon, Warning Circle Information Blue, Red Rectangle Highway Green Rectangle Information Table: Standard Traffic Sign
  6. 6. REAL TIME TRAFFIC SIGN ANALYSIS Detection Recognition Problem facing  Illumination affects the color analysis.  Occlusion affects the shape analysis.  Weather conditions such as rain, snow or fog affect the shape extraction.  Physically damaged or changed surface metal of traffic signs affects the recognition.
  7. 7. TRAFFIC SIGN ANALYSIS Fig: Steps of TSR System
  8. 8. COLOR SEGMENTATION Fig: Traffic sign and Red/Blue segmented image
  9. 9. COLOR SEGMENTATION-ADVANTAGES Eliminates undesired colors, thus the number of edge pixels in the edge detection process decreases. The complexity decreases since only edge pixels are processed. Fault detections decrease in the detection process. Color segmentation gives information about the border color and the inner color of the sign.
  10. 10. EDGE DETECTION Identifying points in a digital image at which the image brightness changes sharply Fig: Edge image with color segmentation
  11. 11. SHAPE BASED DETECTION Types: Triangle, Circle and Rectangle TRIANGULAR SIGN DETECTION Hough Transform using Slope-Intercept Line equ. y=a.x + b where: x,y are coordinates a is the slope of the line b is the constant parameter… Use of Polar Coordinates instead of Cartesian Coordinates.
  12. 12. TRIANGULAR SIGN DETECTION x.cosΘ + y.sinΘ=rWhere: r is distance between line & Origin Θ is angle from origin to the closest point to line
  13. 13. TRIANGULAR SIGN DETECTION Fig: Edge Image of a Triangular Fig: Detected Lines after applying Traffic sign Hough Transform
  14. 14. CIRCULAR SIGN DETECTION Circular Hough Transform using parametric equation of Circle: (x-xc)² + (y-yc)² = r² Because of Perspective distortion Circular traffic sign may appear as elliptical. (x-xc)² + k.(y-yc)² = r²
  15. 15. CIRCULAR SIGN DETECTIONFig: Detected Circle after applying CHT Fig: Detected Ellipse after applying Ellipse Detection
  16. 16. RECTANGULAR SIGN DETECTION Fig: Detected Lines of Rectangular Traffic Sign
  17. 17. RECOGNITION A binary image is generated using ROI of the image. Morphological operations are applied to the binary image in order to remove the unwanted pixels. Informative Pixel Percentage (IPP).
  18. 18. BINARY THRESHOLDING ROI is the informative part of the image. Traffic sign consists of only two different colors. One is the informative color of ROI and the other is the background color. Fig: Output of Binarization Process
  19. 19. RECOGNITION AND MATCHINGUSING IPP TRIANGULAR SIGN RECOGNITION Fig: Divided Regions of Triangular Sign
  20. 20. CIRCULAR, RECTANGULAR SIGNRECOGNITION Fig: Divided Regions of Circular and Rectangular Sign
  21. 21. RECOGNITION OF TRAFFIC SIGNSUSING FPGA HARDWARE VIRTEX5-FX70T FPGA XILINX Platform flash PROM DDR2 SDRAM LCD Display
  22. 22. HOW TSR IS WORKS?
  23. 23. CONCLUSION Automatic traffic sign detection and recognition is an important part of an ADAS. Traffic symbols have several distinguishing features that may be used for their recognition and detection. There are several factors that can hinder effective detection and recognition of traffic signs. The performance of the TSR system can be improved with increasing the number of divided regions.

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