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Multi-target pig tracking algorithm based on joint probability data association and particle filter
2021
International Journal of Agricultural and Biological Engineering
In order to evaluate the health status of pigs in time, monitor accurately the disease dynamics of live pigs, and reduce the morbidity and mortality of pigs in the existing large-scale farming model, pig detection and tracking technology based on machine vision are used to monitor the behavior of pigs. However, it is challenging to efficiently detect and track pigs with noise caused by occlusion and interaction between targets. In view of the actual breeding conditions of pigs and the
doi:10.25165/j.ijabe.20211404.6105
fatcat:7cvb6ymchrh6tc4oyqnjzo2xwq