Detecting partially occluded ellipses using the Hough transform
Image and Vision Computing - 4th Alvey Vision Meeting
A combinatorial Hough transform
Pattern Recognition Letters
A new curve detection method: randomized Hough transform (RHT)
Pattern Recognition Letters
Randomized Hough transform: improved ellipse detection with comparison
Pattern Recognition Letters
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking Deformable Objects in the Plane Using an Active Contour Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Head Detection and Tracking by 2-D and 3-D Ellipsoid Fitting
CGI '00 Proceedings of the International Conference on Computer Graphics
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Head Tracking with Shape Modeling and Detection
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Arc-based evaluation and detection of ellipses
Pattern Recognition
Tracking a detected face with dynamic programming
Image and Vision Computing
Robust head detection and tracking in cluttered workshop environments using GMM
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Head orientation estimation for covert-tracking robot
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Privacy preserving video surveillance using pedestrian tracking mechanism
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
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In this paper, we propose a real time elliptical head contour detection method based on quadrant arcs, which is efficient and robust to arbitrary head pose and wide distance range. First, the moving object area is detected according to background model which is built on three color channels. Then, all the valid elliptical arcs are extracted out from connected edges, and classified into four kinds of quadrant arc sets according to their gradient information. Finally, the arcs lying in different sets are combined to fit out the elliptical head contour based on the least square method. Experimental results confirm the robustness and the accuracy of this method under arbitrary head pose and wider distance range, as well as the real time property, strong robustness to long or short hair and with or without hat.