Methodology for mammal classification in camera trap images

Luis Pulido Castelblanco; Claudia Isaza Narváez; Angélica Díaz Pulido

doi:10.1117/12.2268732

17 March 2017 Methodology for mammal classification in camera trap images

Luis Pulido Castelblanco, Claudia Isaza Narváez, Angélica Díaz Pulido

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103410I (2017) https://doi.org/10.1117/12.2268732
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

Using camera traps in animal ecology studies has increased because it facilitates the work of biologists and allows them to obtain information that otherwise would be impossible. A large number of photographs are capturing with this wildlife photography technique making difficult their posterior analysis. This paper presents a method to automatically identify the images with at least one animal and to classify them between birds and mammals. In this work a fuzzy classifier and a matched filter were used to identify the image with animals and to segment the images. An artificial neural network was employed to classify the segments between birds and mammals. We obtained a classification accuracy of 73.1% validating the model over real camera trap sessions. The database includes several difficulties, as the constant changes in the scene by climatic factors or animals partially occluded by the environment. This method was implemented in a software that is currently using in the Alexander von Humboldt Biological Resources Research Institute for studies of biodiversity in Colombia.

Citation Download Citation

Luis Pulido Castelblanco, Claudia Isaza Narváez, and Angélica Díaz Pulido "Methodology for mammal classification in camera trap images", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410I (17 March 2017); https://doi.org/10.1117/12.2268732

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available