  This paper proposes a process that uses two cameras to obtain
three-dimensional (3D) information of a target object for human tracking.
Results of human detection and tracking from two cameras are integrated to
obtain the 3D information. OpenPose is used for human detection. In the case of
a general processing a stereo camera, a range image of the entire scene is
acquired as precisely as possible, and then the range image is processed.
However, there are problems such as incorrect matching and computational cost
for the calibration process. A new stereo vision framework is proposed to cope
with the problems. The effectiveness of the proposed framework and the method
is verified through target-tracking experiments.
