Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Active Feature Description in Animals Footprint Identification

Author : Certainly Pathaw 1 P.C.Godlina 2 Paul T Sheeba 3

Date of Publication :7th April 2016

Abstract: We propose a novel method in Animal footprints identification, which are used to identify the animals by the footprints in a digital method. The recognition of animal tracks plays an important role in ecological research and monitoring, and tracking tunnels are a cost-effective method for species over large areas. Traditionally, tracks are collected by a tracking system, and analysis is carried out in a manual identification procedure by experienced wildlife biologists. Unfortunately, human experts are unable to reliably distinguish tracks of morphologically similar species. We propose a new method using image analysis, which allows automatic identification of animals by using the digital images as an input then compared it with the database.

Reference :

    1. james c. russell,1,4 nils hasler,2 reinhard klette,3 and bodo rosenhahn2 “Automatic track recognition of footprints for identifying cryptic species" 1School of Biological Sciences and Department of Statistics, University of Auckland, Private Bag 92019, Auckland, New ealand 2 a - lanck- nstitut fu r nformatik, Campus aarbru cken 66123 Germany 3Department of Computer Science, University of Auckland, Private Bag 92019, Auckland, New Zealand.
    2. Zoe Jewell and ky Alibhai “ dentifying endangered species from footprints
    3. Sky K. Alibhai1, Zoe C. Jewell1,*, Peter R. Law2 “A footprint technique to identify white rhino Ceratotherium simum at individual and species levels “ Apartado 2 0 8550-909 Monchique, Portugal 2Mack Place, Monroe, New York 10950, USA
    4. C. Monfreda* ,1 , M. Wackernagel, D. Deumling “ stablishing national natural capital accounts based on detailed Ecological Footprint and biological capacity assessments “Redefining Progress, 1904 Franklin St., 6th Floor, Oakland, CA 94612, USA Received 29July2003; received inrevised form 17 October 2003; accepted 20 October 2003 .
    5. “A tudy of Approaches for Object Recognition “Wong Yuk-Man Term Paper for the Degree of Master of Philosophy in Computer Science and Engineering Supervised by Prof. Michael R. Lyuc The Chinese University of Hong Kong November 2005

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