2005 Volume 125 Issue 4 Pages 675-676
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 the feasibility of the proposed method for estimating human body postures.
The transactions of the Institute of Electrical Engineers of Japan.C
The Journal of the Institute of Electrical Engineers of Japan