HIGHLIGHTS
- who: Yuhan Liu et al. from the School of Artificial Intelligence, Chongqing of Technology, Chongqing, China have published the research: An adaptive spatiotemporal correlation filtering visual tracking method, in the Journal: PLOS ONE
- what: To address the above-mentioned issues the authors propose a three-way spatio-temporal tracker named ASCF that makes fuller use of the spatio-temporal information during tracking. The authors propose model update strategy that adjusts the update frequency of the three filters in different ways to avoid model drift due to the introduction of similar objects or background noise. Aiming . . .
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