NEURAL-BAYESIAN FILTERING BASED ON MONTE CARLO RESAMPLING FOR VISUAL ROBUST TRACKING

摘要

The visual robust tracking is an acid test for existing methods since the target with large-dynamic-change scenarios. Specifically, this paper presents neural aided Bayesian filtering scheme which is based on Monte Carlo resampling techniques associated w