A Study on the Detection of a moving Object using Self-Loop Diffusion Neural Network

자기궤환 확산신경망을 이용한 이동물체의 검출에 관한 연구.

In this paper, we propose a neural-network that detects moving objects in an image using a diffusion neural network. The proposed neural network is improved by adding a self loop to diffusion layer to remove the noise in an image and to reduce the detection of phantom edge. Computer simulation with real images show that the proposed neural network can extract edges of moving object efficiently.