CORRECTED CONTINUOUS CORRELATION FILTER FOR LONG-TERM TRACKING

Corrected Continuous Correlation Filter for Long-Term Tracking

Recently, a large number of visual tracking algorithms based on discriminative correlation filter have been proposed with demonstrated success.However, most of algorithms cannot well handle long-term videos in which the locating error may accumulate and lead to drifting or tracking failure.Hence, it is of great importance to design a robust long-te

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Mate Choice Contributes to the Maintenance of Shell Color Polymorphism in a Marine Snail via Frequency-Dependent Sexual Selection

Natural color polymorphisms are widespread across animal species and usually have a simple genetic basis.This makes them an ideal system to study the evolutionary mechanisms responsible for maintaining biodiversity.In some populations of the intertidal snail Littorina fabalis, variation in shell color has remained stable for years, but the mechanis

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Live Multiattribute Data Mining and Penalty Decision-Making in Basketball Games Based on the Apriori Algorithm

The Apriori algorithm is used to conduct an in-depth analysis and research on the relationship between data mining and penalty decision of multiattribute data Military Airplane in the basketball game scene.The technical and tactical features are analyzed using an improved Apriori algorithm for association rule analysis of basketball game data.The a

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An agent-based model to assess the impact of shared staff and occupancy rate on infectious disease burden in nursing homes

Abstract Infectious diseases can propagate between nursing homes through asymptomatic staff members who are employed at multiple facilities.However, the transmission dynamics of infections, both within individual nursing homes and across facilities, has been less investigated.To fill this gap, we developed an agent-based model of two nursing homes

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