TY - GEN
T1 - Fast shape-based road sign detection for a driver assistance system
AU - Loy, Gareth
AU - Barnes, Nick
PY - 2004
Y1 - 2004
N2 - A new method is presented for detecting triangular, square and octagonal road signs efficiently and robustly. The method uses the symmetric nature of these shapes, together with the pattern of edge orientations exhibited by equiangular polygons with a known number of sides, to establish possible shape centroid locations in the image. This approach is invariant to in-plane rotation and returns the location and size of the shape detected. Results on still images show a detection rate of over 95%. The method is efficient enough for real-time applications, such as on-board-vehicle sign detection.
AB - A new method is presented for detecting triangular, square and octagonal road signs efficiently and robustly. The method uses the symmetric nature of these shapes, together with the pattern of edge orientations exhibited by equiangular polygons with a known number of sides, to establish possible shape centroid locations in the image. This approach is invariant to in-plane rotation and returns the location and size of the shape detected. Results on still images show a detection rate of over 95%. The method is efficient enough for real-time applications, such as on-board-vehicle sign detection.
UR - http://www.scopus.com/inward/record.url?scp=14044278889&partnerID=8YFLogxK
M3 - Conference contribution
SN - 0780384636
T3 - 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
SP - 70
EP - 75
BT - 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
T2 - 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Y2 - 28 September 2004 through 2 October 2004
ER -