Vision-Based Biometrics for Conservation

Ravela, Sai; Duyck, James; Finn, Chelsea

doi:10.1007/978-3-642-38989-4_2

Cited by 5 publications

(16 citation statements)

References 8 publications

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“…The specialized techniques are of limited interest. For example, a generic correspondence-based approach in Sloop [10] can be adapted for whale sharks with markedly improved performance over an earlier specialized approach [6].…”

Section: Related Workmentioning

confidence: 98%

“…Within the realm of feature-based methods, there are two main classes of recognition methods; specialized methods [6,15,16] for individual species, and generic methods [8,1,9,[17][18][19]10]. The specialized techniques are of limited interest.…”

Section: Related Workmentioning

confidence: 99%

“…The user verifies a limited number of top ranked retrievals and thus makes the final decision for labeling cohorts 1 with shared identities [8,1,9,10]. Once an initial collection is indexed, over time, this linear approach sequentially assimilates new images by comparing them with existing cohorts or singletons to maintain updated capture histories.…”

Section: Introductionmentioning

confidence: 99%

“…Sloop, a distributed interactive system for individual animal identification, emerged through several iterations of the image retrieval methodology [8,1,9,10]. Sloop is neither a complete CMR system nor does it provide statistical analysis, but it is a tool with which users can reconstruct capture or encounter histories.…”

Section: Introductionmentioning

confidence: 99%

“…Computer-based pattern recognition approaches [1][2][3][4][5][6][7][8][9][10] decidedly benefit the identification problem. They scale to large collections, extend to multiple species and are convenient to use.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Sloop: A pattern retrieval engine for individual animal identification

Duyck

Finn

Hutcheon³

et al. 2015

Pattern Recognition

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Section: Related Workmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Sloop: A pattern retrieval engine for individual animal identification

Duyck

Finn

Hutcheon³

et al. 2015

Pattern Recognition

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Relevance Feedback in Biometric Retrieval of Animal Photographs

Finn

Duyck

Hutcheon³

et al. 2014

Lecture Notes in Computer Science

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The characterization of individual animal life history is crucial for conservation efforts. In this paper, Sloop, an operational pattern retrieval engine for animal identification, is extended by coupling crowdsourcing with image retrieval. The coupled system delivers scalable performance by using aggregated computational inference to effectively deliver precision and by using human feedback to efficiently improve recall. To the best of our knowledge, this is the first coupled humanmachine animal biometrics system, and results on multiple species indicate that it is a promising approach for large-scale use.

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Automated Visual Fin Identification of Individual Great White Sharks

Hughes

Burghardt

2016

Int J Comput Vis

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This paper discusses the automated visual identification of individual great white sharks from dorsal fin imagery. We propose a computer vision photo ID system and report recognition results over a database of thousands of unconstrained fin images. To the best of our knowledge this line of work establishes the first fully automated contour-based visual ID system in the field of animal biometrics. The approach put forward appreciates shark fins as textureless, flexible and partially occluded objects with an individually characteristic shape. In order to recover animal identities from an image we first introduce an open contour stroke model, which extends multi-scale region segmentation to achieve robust fin detection. Secondly, we show that combinatorial, scale-space selective fingerprinting can successfully encode fin individuality. We then measure the species-specific distribution of visual individuality along the fin contour via an embedding into a global 'fin space'. Exploiting this domain, we finally propose a non-linear model for individual animal recognition and combine all approaches into a fine-grained multiinstance framework. We provide a system evaluation, compare results to prior work, and report performance and properties in detail.

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Vision-Based Biometrics for Conservation

Cited by 5 publications

References 8 publications

Sloop: A pattern retrieval engine for individual animal identification

Sloop: A pattern retrieval engine for individual animal identification

Relevance Feedback in Biometric Retrieval of Animal Photographs

Automated Visual Fin Identification of Individual Great White Sharks

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