Real-Time Hands Detection in Depth Image by Using Distance with Kinect Camera
Mostafa Karbasi, Zeeshan Bhatti, Parham Nooralishahi, Asadullah Shah, Seyed Mohammad Reza Mazloomnezhad · The Internet of Things · 2015
Hand detection is one of the most important and crucial step in human computer interaction environment. This paper presents a distance technique for hand detection based on depth image information get from Kinect sensor. Distance was used as the method of this study for hand detection. First, Kinect sensor was used to obtain depth image information. Second, background subtraction and iterative method for shadow removal applied to reduce noise from the depth image. Then, it used the official Microsoft SDK for extraction process. Finally, two hands could be segmented based on different color in specific distance. The experiment result shows that hands and head can be detected in a different position with good accuracy.