TY - JOUR
AU - Sun, Yi
AB - The 3-D estimation of human motion captured by a video camera(s) is becoming a challenging scientific task. In this paper, two important problems are addressed: the acquisition of 3-D coordinates of human's body parts, and the key-frame-based human motion prediction. To the key frames, a fuzzy pattern matching method is adopted to detect and get 2-D image coordinates of the face in each image sequence. After stereo matching of the same feature point, we use a binocular imaging model to accomplish the acquisition of 3-D coordinates of the head. Out of the key frames, we use a Kalman estimator to predict the motion of human body parts. At the end of the paper, the experimental result and discussion are given.
TI - Recovery of 3D human posture from double views
JF - Proceedings of SPIE
DO - 10.1117/12.507133
DA - 2004-01-28
UR - https://www.deepdyve.com/lp/spie/recovery-of-3d-human-posture-from-double-views-w3sJNtUY6X
SP - 224
EP - 234
VL - 5208
IS - 1
DP - DeepDyve
ER -