A Hand Grasped Object Segmentation Method Using Kinect Sensor and Body Dimension Database
Naruyuki Hisatsuka, Ippei Samejima, Satoshi Kagami, Makiko Kouchi, Hiroshi Takemura · 2013
This paper proposes a method to segment out a hand grasped object from human region obtained from Kinect sensor by using body dimension database. Having dataset of human body dimensions, Multiple Regression Analysis is applied to find out the best explanatory variables for forearm and upper arm length. As a result, "body height" is selected. In order to measure "body height" accurately, Kinect depth image is utilized to search with kinematical result obtained from Kinect software. After estimating wrist position, we can segment out hand grasped region. Methods and experimental results are shown.