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Article Dans Une Revue Pattern Recognition Année : 2017

A survey on image-based insect classification

Résumé

Entomology has had many applications in many biological domains (i.e insect counting as a biodiversity index). To meet a growing biological demand and to compensate a decreasing workforce amount, automated entomology has been around for decades. This challenge has been tackled by computer scientists as well as by biologists themselves. This survey investigates fourty-four studies on this topic and tries to give a global picture on what are the scientific locks and how the problem was addressed. Views are adopted on image capture, feature extraction, classification methods and the tested datasets. A general discussion is finally given on the questions that might still remain unsolved such as: the image capture conditions mandatory to good recognition performance, the definition of the problem and whether computer scientist should consider it as a problem in its own or just as an instance of a wider image recognition problem.
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Dates et versions

hal-01441203 , version 1 (19-01-2017)
hal-01441203 , version 2 (02-10-2023)

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Chloé Martineau, Donatello Conte, Romain Raveaux, Ingrid Arnault, Damien Munier, et al.. A survey on image-based insect classification. Pattern Recognition, 2017, 65, pp.273 - 284. ⟨10.1016/j.patcog.2016.12.020⟩. ⟨hal-01441203v2⟩
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