Daniel Pelletier

A Line-Scan Computer Vision Algorithm for Identifying Human Body Features

A computer vision algorithm for identifying human body features algorithm, called the nine-grid algorithm, is introduced in this paper. The algorithm identifies body features via a two level hierarchy. The lower level makes a series of measurements on the image from line-scan input. The upper level uses a set of heuristics to assign the measurements to body features. A ground truth study is presented, showing the performance of the algorithm for four classes of activity that we consider typical of in-home user interface applications of computer vision. The study showed that the algorithm correctly identified features to a close degree 77% of the time. Closer investigation of the results suggested refinements for the algorithm that would improve this score.