Advanced materials research · 2013 · 11 citations · 16 references
Life SciencesComputer ScienceEntomologyComputer VisionInsect EcologyInsect PhysiologyCell TrackingInsect MonitoringPest DetectionBackground SubtractionEarly Life Stage DevelopmentInsect Movement TrackingInsect Pest DetectionLife Stage MonitoringMetamorphosisPest Monitoring AutomationVideo Monitoring Systems
This works presents a new proposal towards the development of an intelligent system for automatic detection and monitoring of the mite’s movement, being this mite’s the major pest of the honey bees worldwide which attacks the bee’s pupa during its growing stage. The pupa is an early life stage of some insects undergoing transformation. This stage is presented only in a certain type of insects called holometabolous, which are those that should undergo a complete metamorphosis. We propose a monitoring technique based on background subtraction and a frame by frame monitoring approach, keeping track of the mite’s localization in the space. Based on this proposal, our system has obtained 90.98% of accuracy in the mite’s monitoring stage with a standard deviation of 1.25.
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Adaptive background mixture models for real-time tracking
Chris Stauffer, W. Eric L. Grimson · 2003 · 6.9K citations