Literature DB >> 19324633

A tiger cannot change its stripes: using a three-dimensional model to match images of living tigers and tiger skins.

Lex Hiby1, Phil Lovell, Narendra Patil, N Samba Kumar, Arjun M Gopalaswamy, K Ullas Karanth.   

Abstract

The tiger is one of many species in which individuals can be identified by surface patterns. Camera traps can be used to record individual tigers moving over an array of locations and provide data for monitoring and studying populations and devising conservation strategies. We suggest using a combination of algorithms to calculate similarity scores between pattern samples scanned from the images to automate the search for a match to a new image. We show how using a three-dimensional surface model of a tiger to scan the pattern samples allows comparison of images that differ widely in camera angles and body posture. The software, which is free to download, considerably reduces the effort required to maintain an image catalogue and we suggest it could be used to trace the origin of a tiger skin by searching a central database of living tigers' images for matches to an image of the skin.

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Year:  2009        PMID: 19324633      PMCID: PMC2679928          DOI: 10.1098/rsbl.2009.0028

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  3 in total

1.  Assessing tiger population dynamics using photographic capture-recapture sampling.

Authors:  K Ullas Karanth; James D Nichols; N Samba Kumar; James E Hines
Journal:  Ecology       Date:  2006-11       Impact factor: 5.499

2.  Photo-identification, site fidelity, and movement of female gray seals (Halichoerus grypus) between haul-outs in the Baltic Sea.

Authors:  Olle Karlsson; Lex Hiby; Torkel Lundberg; Mart Jüssi; Ivar Jüssi; Björn Helander
Journal:  Ambio       Date:  2005-12       Impact factor: 5.129

3.  Tigers and their prey: Predicting carnivore densities from prey abundance.

Authors:  K Ullas Karanth; James D Nichols; N Samba Kumar; William A Link; James E Hines
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-23       Impact factor: 11.205

  3 in total
  10 in total

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Authors:  Kanchan Thapa; Eric Wikramanayake; Sabita Malla; Krishna Prasad Acharya; Babu Ram Lamichhane; Naresh Subedi; Chiranjivi Prasad Pokharel; Gokarna Jung Thapa; Maheshwar Dhakal; Ashish Bista; Jimmy Borah; Mudit Gupta; Kamlesh K Maurya; Ghana Shyam Gurung; Shant Raj Jnawali; Narendra Man Babu Pradhan; Shiv Raj Bhata; Saroj Koirala; Dipankar Ghose; Joseph Vattakaven
Journal:  PLoS One       Date:  2017-06-07       Impact factor: 3.240

2.  Measuring agreement among experts in classifying camera images of similar species.

Authors:  T J Gooliaff; Karen E Hodges
Journal:  Ecol Evol       Date:  2018-10-30       Impact factor: 2.912

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Journal:  Sci Rep       Date:  2019-10-11       Impact factor: 4.379

4.  Population Density and Driving Factors of North China Leopards in Tie Qiao Shan Nature Reserve.

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Journal:  Animals (Basel)       Date:  2021-02-07       Impact factor: 2.752

5.  Gauging the threat: the first population estimate for white sharks in South Africa using photo identification and automated software.

Authors:  Alison V Towner; Michelle A Wcisel; Ryan R Reisinger; David Edwards; Oliver J D Jewell
Journal:  PLoS One       Date:  2013-06-12       Impact factor: 3.240

6.  New hope for the survival of the Amur leopard in China.

Authors:  Guangshun Jiang; Jinzhe Qi; Guiming Wang; Quanhua Shi; Yury Darman; Mark Hebblewhite; Dale G Miquelle; Zhilin Li; Xue Zhang; Jiayin Gu; Youde Chang; Minghai Zhang; Jianzhang Ma
Journal:  Sci Rep       Date:  2015-12-07       Impact factor: 4.379

7.  Factors affecting the identification of individual mountain bongo antelope.

Authors:  Gwili E M Gibbon; Markus Bindemann; David L Roberts
Journal:  PeerJ       Date:  2015-11-12       Impact factor: 2.984

8.  Whisker spot patterns: a noninvasive method of individual identification of Australian sea lions (Neophoca cinerea).

Authors:  Sylvia K Osterrieder; Chandra Salgado Kent; Carlos J R Anderson; Iain M Parnum; Randall W Robinson
Journal:  J Mammal       Date:  2015-06-24       Impact factor: 2.416

9.  Automatic Identification of Individual Primates with Deep Learning Techniques.

Authors:  Songtao Guo; Pengfei Xu; Qiguang Miao; Guofan Shao; Colin A Chapman; Xiaojiang Chen; Gang He; Dingyi Fang; He Zhang; Yewen Sun; Zhihui Shi; Baoguo Li
Journal:  iScience       Date:  2020-07-25

10.  Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning-A Study on Polar Bears.

Authors:  Matthias Zuerl; Philip Stoll; Ingrid Brehm; René Raab; Dario Zanca; Samira Kabri; Johanna Happold; Heiko Nille; Katharina Prechtel; Sophie Wuensch; Marie Krause; Stefan Seegerer; Lorenzo von Fersen; Bjoern Eskofier
Journal:  Animals (Basel)       Date:  2022-03-10       Impact factor: 2.752

  10 in total

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