Remarks on Human Body Posture Estimation from Silhouette Image using Neural Networks
T. Tanigawa, Kazuhiko Takahashi, Syunichi Kawano · The Proceedings of Conference of Chugoku-Shikoku Branch · 2004
This paper proposes a human body posture estimation method using neural network. The input feature vector of the neural network is composed with the result of analyzing a human silhouette extracted from camera image and the output vector of the neural network indicates the 2D coordinates of the human body’s significant points. The proposed method is implemented on a personal computer and runs in real-time. Experimental results show both the feasibility and the effectiveness of the proposed method for estimating human body postures.