Journal
PATTERN RECOGNITION
Volume 65, Issue -, Pages 273-284Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2016.12.020
Keywords
Image-based insect recognition; Classification; Automated entomology; Arthropods; Biology; Recognition; Image
Funding
- Region Centre-Val de Loire, France
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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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