Head Detection and Tracking by 2-D and 3-D Ellipsoid Fitting

A novel procedure for segmenting a set of scattered 3D data obtained from a head and shoulders multiview sequence is presented. The procedure consists of two steps. In the first step, two ellipses corresponding to the head and the body of the person are identified based on ellipse fitting of the outline of the person in each image. The fitting is based on a fast direct least squares method using the constraint that forces a general conic to be an ellipse. In order to achieve head/body segmentation, a K-means algorithm is used to minimise the fitting error between the points and the two ellipsoids. In the second step, a 3-D ellipsoid model corresponding to the head of the person is identified using an extension of the above method. Robustness and outlier removal can be achieved if 3-D ellipsoid model estimation technique is used in conjunction with the Median of Least Squares (MedLS) technique, which minimises the median of the errors corresponding to each 3-D point. An interesti...

• Type: Conference
• Year: 2000
• Where: CGI
• Authors: Nikos Grammalidis, Michael G. Strintzis
• Keywords: 3-D Ellipsoid Model, CGI 2000, Computer Graphics, Ellipsoid Model Estimation, Shoulders Multiview Sequence