Identification of Discards in Video Surveillance
Xiaohu Liu, Guojian Cheng · 2018
In this paper, a detection scheme combining Bayesian network modeling and deep neural network feature extraction is used to detect the remaining cabinets in monitoring.The iterative sampling method of RJMCMC is used to track the follow-up multi-targets, and the identification of the legacy box is realized by means of three behavioral modes and tracking states of the RJMCMC process.Experimental results show the effectiveness of the algorithm.