Semi-Supervised Joint Learning for Hand Gesture Recognition from a Single Color Image

Semi-Supervised Joint Learning for Hand Gesture Recognition from a Single Color Image

Blog Article

Hand gesture recognition and hand pose estimation are two closely correlated tasks.In this paper, we propose a deep-learning based approach which jointly learns an intermediate level shared feature for these two tasks, so that the hand gesture Sofa recognition task can be benefited from the hand pose estimation task.In the training process, a semi-supervised training scheme is designed to solve the problem of lacking proper annotation.

Our approach detects the foreground hand, recognizes the hand gesture, and estimates the corresponding 3D hand pose simultaneously.To evaluate the hand gesture recognition performance of Herbal Supplement the state-of-the-arts, we propose a challenging hand gesture recognition dataset collected in unconstrained environments.Experimental results show that, the gesture recognition accuracy of ours is significantly boosted by leveraging the knowledge learned from the hand pose estimation task.