In response to the problems of weak timeliness and large errors in traditional algorithms in complex scenes, a Bayesian based multi-target tracking model (BFMTT) was designed by introducing the theory ...

Regularization of inverse problems is of paramount importance in computational imaging. The ability of neural networks to learn efficient image representations has been recently exploited to design ...