Contour Based Hand Segmentation Using Deep Convolutional Neural Networks

In modern society, the interaction between human and machine has become more and more important. Compare with the traditional interface, operation with the gesture is more intuitive and attractive. Deep learning can share the computations and the parameters by sharing the convolution layers, in order to eliminate the multi-stage system. For hand gesture recognition task, hand detection and gesture classification can share the same image features. In this work, we focus on hand detection and segmentation task, enforce the data on extreme situations scene, and use iterative training to further reduce the errors. Finally, we achieve a robust hand segmentation model with F1 score over than 90%.