Adaptive model-based dense spatial-temporal context target tracking method

The invention proposes an adaptive model-based dense spatial-temporal context (STC) target tracking method. The method comprises the following steps of S1, specifying and giving a tracking target of an initial rectangular frame of a first frame of a video by a user, performing initialization to obtain an STC conventional template, then immediately performing snapshot storage once on the conventional template to obtain a first historical snapshot template, and adding the first historical snapshot template into a snapshot template group; S2, when a t frame comes, performing tracking and estimation on the t frame by using the historical snapshot template group and the STC conventional template simultaneously; and S3, extracting a highest confidence degree obtained by estimation in the snapshot template group, substituting the highest confidence degree into a formula defined in the specification to perform judgment, if the adaptability of the historical snapshot template is higher than that of the conventional te