Due to the large number of parameters and heavy computation, real-time operation deep learning in low-performance embedded board is still difficult. Network Pruning one effective methods reduce without additional network structure modification. However, conventional method prunes redundant up same rate for all layers. It may cause a bottleneck problem, which leads performance degradation, becau...

As the classical Gaussian mixture model has some problems of not considering it self’s matching degree of Gaussian density functions, model updating and the background in real video motion detection, made improvements on the three aspects. Optimized Gaussian mixture model’s overall architecture and proposed an improved algorithm according to the analysis of the definition and disadvantages of c...