Robust visual tracking reciprocity interlayer-time discrimination target model

The invention discloses a reciprocal interlayer-time discrimination target model for robust visual tracking, belongs to the technical field of target tracking, and is used for solving the problem that a tracking result is affected by accumulative errors of class target interference due to the fact that a traditional twin tracking algorithm rarely considers information interaction of a template and a search area. According to the method, firstly, an interlayer target perception enhancement model is constructed, interlayer feature information interaction is achieved by establishing pixel-by-pixel correlation between a template and a search area in the feature extraction process, accumulative errors caused by the fact that a target is invisible to the search area are reduced, and perception of the target is enhanced; meanwhile, in order to weaken the influence of interference, a time interference evaluation strategy is designed, an inter-frame candidate propagation module is utilized to establish a similarity re