20.7.3.7.13 Agriculture, Inspection -- Animals, Animal Detection

Chapter Contents (Back)
Real Time Vision. Application, Inspection. Animal Inspection.
See also Agriculture, Inspection -- Meat.
See also Tracking Animals, Animal Gait, Animal Behaviors.
See also Wildlife Detection, Analysis.
See also Insects, Other Pests, Detection, Identification.

Animals with Attributes 2 Dataset,
2017 Dataset, Animals.
WWW Link. Reference:
See also Zero-Shot Learning: The Good, the Bad and the Ugly. Note the earlier AWA dataset has been removed due to copyright issues and replaces with this version.

Cat Dataset,
2013 Dataset, Cats.
WWW Link. 9000 cat images with annotations.

Trivedi, M.M., Wyatt, C.L., and Anderson, D.R.,
A Multispectral Approach to Remote Detection of Deer,
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Trivedi, M.M., Wyatt, C.L., Anderson, D.R., and Voorheis, H.T.,
Designing a Deer Detection System Using a Multistage Classification Approach,
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Zhang, Z., He, Z., Cao, G., Cao, W.,
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IEEE DOI 1610
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Kumar, S.[Santosh], Singh, S.K.[Sanjay Kumar],
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Oishi, Y.[Yu], Oguma, H.[Hiroyuki], Tamura, A.[Ayako], Nakamura, R.[Ryosuke], Matsunaga, T.[Tsuneo],
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Qiu, Z.X.[Zi-Xuan], Feng, Z.K.[Zhong-Ke], Jiang, J.Z.W.[Jun-Zhi-Wei], Lin, Y.C.[Yi-Cheng], Xue, S.L.[Shao-Long],
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Saqib, M., Daud Khan, S., Sharma, N., Scully-Power, P., Butcher, P., Colefax, A., Blumenstein, M.,
Real-Time Drone Surveillance and Population Estimation of Marine Animals from Aerial Imagery,
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IEEE DOI 1902
Feature extraction, Proposals, Sociology, Statistics, Marine animals, Detectors, Deep CNN, Aerial Imagery, Marine Animal Migration and Population BibRef

Phyo, C.N., Zin, T.T., Hama, H., Kobayashi, I.,
A Hybrid Rolling Skew Histogram-Neural Network Approach to Dairy Cow Identification System,
IVCNZ18(1-5)
IEEE DOI 1902
Cows, Histograms, Bars, Cameras, Body regions, Agriculture, cow identification, deep learning BibRef

Kellenberger, B., Marcos, D., Lobry, S., Tuia, D.,
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery Using Deep CNNs and Active Learning,
GeoRS(57), No. 12, December 2019, pp. 9524-9533.
IEEE DOI 1912
Animals, Detectors, Data models, Unmanned aerial vehicles, Adaptation models, Biological system modeling, Predictive models, unmanned aerial vehicles BibRef

Fuentes, M.M.P.B.[Mariana M.P.B.], Godfrey, M.H.[Matthew H.], Shaver, D.[Donna], Ceriani, S.[Simona], Gredzens, C.[Christian], Boettcher, R.[Ruth], Ingram, D.[Dianne], Ware, M.[Matthew], Wildermann, N.[Natalie],
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Kearney, S., Li, W., Parsons, M., Kim, K.I., Cosker, D.,
RGBD-Dog: Predicting Canine Pose from RGBD Sensors,
CVPR20(8333-8342)
IEEE DOI 2008
Dogs, Shape, Skeleton, Training BibRef

Khan, A.Q.[Akif Quddus], Khan, S.[Salman], Ullah, M.[Mohib], Cheikh, F.A.[Faouzi Alaya],
A Bottom-up Approach for Pig Skeleton Extraction Using RGB Data,
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Bird, C.N.[Clara N.], Dawn, A.H.[Allison H.], Dale, J.[Julian], Johnston, D.W.[David W.],
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Castro, J.[Joana], Borges, F.O.[Francisco O.], Cid, A.[André], Laborde, M.I.[Marina I.], Rosa, R.[Rui], Pearson, H.C.[Heidi C.],
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Ulhaq, A.[Anwaar], Adams, P.[Peter], Cox, T.E.[Tarnya E.], Khan, A.[Asim], Low, T.[Tom], Paul, M.[Manoranjan],
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Li, X.H.[Xiang-Hua], Hou, J.L.[Jin-Liang], Huang, C.L.[Chun-Lin],
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Weng, Z.[Zhi], Fan, L.Z.[Long-Zhen], Zhang, Y.[Yong], Zheng, Z.Q.[Zhi-Qiang], Gong, C.L.[Cai-Li], Wei, Z.Y.[Zhong-Yue],
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Tu, S.Q.[Shu-Qin], Zeng, Q.[Qiantao], Liu, H.F.[Hao-Feng], Liang, Y.[Yun], Liu, X.L.[Xiao-Long], Huang, L.[Lei], Huang, Z.X.[Zheng-Xin],
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Animal pose estimation, Attention mechanism, Asymmetric convolution, Feature pyramid BibRef


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BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information,
CVPR22(3866-3874)
IEEE DOI 2210
Training, Solid modeling, Visualization, Shape, Training data, Dogs, 3D from single images, Pose estimation and tracking BibRef

Fukuda, A.[Akihiro], Han, C.H.[Chang-Hee], Hakamada, K.[Kazumi],
Effort-Free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-Body Micro-Ct Scans,
ICIP21(279-283)
IEEE DOI 2201
Drugs, Annotations, Computed tomography, Training data, Rats, Data collection, Bones, Abnormality Detection, micro-CT BibRef

Nguyen, C.[Chuong], Wang, D.D.[Da-Dong], von Richter, K.[Karl], Valencia, P.[Philip], Alvarenga, F.A.P.[Flavio A.P.], Bishop-Hurley, G.[Gregory],
Video-based cattle identification and action recognition,
DICTA21(01-05)
IEEE DOI 2201
Deep learning, Image recognition, Animals, Digital images, Prototypes, Cows, Monitoring, cattle identification, action recognition BibRef

Szymanski, L.[Lech], Lee, M.[Michael],
Coarse facial feature detection in sheep,
IVCNZ21(1-6)
IEEE DOI 2201
Image recognition, Animals, Face recognition, Feature detection, Nose, Predictive models, Feature extraction, deep learning, facial recognition BibRef

Fan, Y.[Yu], Yang, C.C.[Chih-Chung], Chen, C.T.[Chin-Ta],
Cat Face Recognition Based on MFCC and GMM,
ICIVC21(81-84)
IEEE DOI 2112
Industries, Cats, Face recognition, Insurance, Cepstrum, Feature extraction, Market research, feature extraction, MFCC, GMM BibRef

Li, C.[Chen], Lee, G.H.[Gim Hee],
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation,
CVPR21(1482-1491)
IEEE DOI 2111
Training, Codes, Animals, Filtering, Pose estimation, Switches BibRef

Mathis, A.[Alexander], Biasi, T.[Thomas], Schneider, S.[Steffen], Yüksekgönül, M.[Mert], Rogers, B.[Byron], Bethge, M.[Matthias], Mathis, M.W.[Mackenzie W.],
Pretraining boosts out-of-domain robustness for pose estimation,
WACV21(1858-1867)
IEEE DOI 2106
Training, Pose estimation, Transfer learning, Horses, Benchmark testing BibRef

Chen, S.[Shunnan], Wang, S.[Sen], Zuo, X.X.[Xin-Xin], Yang, R.G.[Rui-Gang],
Angus Cattle Recognition Using Deep Learning,
ICPR21(4169-4175)
IEEE DOI 2105
Deep learning, Training, Industries, Image segmentation, Visualization, Image resolution, Face recognition BibRef

Pang, Y.[Yunkui], Pan, Z.Q.[Zhi-Qing], Sun, R.Y.[Rui-Yang], Wang, S.[Shuchong],
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Szymanski, L., Lee, M.,
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IVCNZ20(1-6)
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Image analysis, Computational modeling, Predictive models, Genetics, Agriculture, Facial features, Faces BibRef

Shi, X.[Xiao], Yang, C.X.[Chen-Xue], Xia, X.[Xue], Chai, X.J.[Xiu-Juan],
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CVPR20(6937-6946)
IEEE DOI 2008
Benchmark testing, Horses, Ear, Shape BibRef

Mu, J., Qiu, W., Hager, G.D., Yuille, A.L.,
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CVPR20(12383-12392)
IEEE DOI 2008
Solid modeling, Animals, Adaptation models, Data models, Mathematical model, Pose estimation BibRef

Wang, L., Kong, S., Pincus, Z., Fowlkes, C.C.,
Celeganser: Automated Analysis of Nematode Morphology and Age,
Microscopy20(4164-4173)
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Grippers, Image segmentation, Biological system modeling, Aging, Predictive models, Feature extraction BibRef

Calderón, G.[Gustavo], Carrillo, C.[Cesar], Nakano, M.[Mariko], Acevedo, J.[Jeanine], Hernández, J.E.[José Ernesto],
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Springer DOI 2007
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Singh, A., Pietrasik, M., Natha, G., Ghouaiel, N., Brizel, K., Ray, N.,
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WACV20(1427-1438)
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Animals, Detectors, Training, Labeling, Tools, Machine learning, Object detection BibRef

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Andrew, W., Hannuna, S., Campbell, N.W., Burghardt, T.,
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Cows BibRef

Andrew, W., Greatwood, C., Burghardt, T.,
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WACVWS20(38-43)
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Cows, Navigation, Task analysis, Training, Biometrics (access control), Cameras BibRef

Schneider, S., Taylor, G.W., Kremer, S.C.,
Similarity Learning Networks for Animal Individual Re-Identification: Beyond the Capabilities of a Human Observer,
WACVWS20(44-52)
IEEE DOI 2006
Animals, Machine learning, Face, Task analysis, Sociology, Statistics. BibRef

Moskvyak, O., Maire, F., Dayoub, F., Baktashmotlagh, M.,
Learning Landmark Guided Embeddings for Animal Re-identification,
WACVWS20(12-19)
IEEE DOI 2006
Heating systems, Animals, Feature extraction, Image reconstruction, Task analysis, Electrical engineering, Face BibRef

Sun, Y., Murata, N.,
CAFM: A 3D Morphable Model for Animals,
WACVWS20(20-24)
IEEE DOI 2006
Face, Cats, Shape, Solid modeling BibRef

Nepovinnykh, E., Eerola, T., Kälviäinen, H.,
Siamese Network Based Pelage Pattern Matching for Ringed Seal Re-identification,
WACVWS20(25-34)
IEEE DOI 2006
Seals, Animals, Pattern matching, Image segmentation, Cameras, Databases, Tools BibRef

Bain, M.[Max], Nagrani, A.[Arsha], Schofield, D.[Daniel], Zisserman, A.[Andrew],
Count, Crop and Recognise: Fine-Grained Recognition in the Wild,
CVWC19(236-246)
IEEE DOI 2004
Label the animals. biology computing, convolutional neural nets, face recognition, feature extraction, learning (artificial intelligence), Deep Learning BibRef

Cao, J., Tang, H., Fang, H., Shen, X., Tai, Y., Lu, C.,
Cross-Domain Adaptation for Animal Pose Estimation,
ICCV19(9497-9506)
IEEE DOI 2004
pose estimation, multiple animals species, human pose dataset, labeled animal dataset, animal pose estimation, Data models BibRef

Zotin, A.G., Proskurin, A.V.,
Animal Detection Using a Series of Images Under Complex Shooting Conditions,
PTVSBB19(249-257).
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Bhole, A.[Amey], Falzon, O.[Owen], Biehl, M.[Michael], Azzopardi, G.[George],
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Biggs, B.[Benjamin], Boyne, O.[Oliver], Charles, J.[James], Fitzgibbon, A.W.[Andrew W.], Cipolla, R.[Roberto],
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Biggs, B.[Benjamin], Roddick, T.[Thomas], Fitzgibbon, A.W.[Andrew W.], Cipolla, R.[Roberto],
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ACCV18(V:3-19).
Springer DOI 1906
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Sumi, K., Zin, T.T., Kobayashi, I., Horii, Y.,
Framework of Cow Calving Monitoring System Using a Single Depth Camera,
IVCNZ18(1-7)
IEEE DOI 1902
Cows, Cameras, Monitoring, Temperature sensors, Temperature measurement, calving behavior, single depth camera BibRef

Bouma, S., Pawley, M.D.M., Hupman, K., Gilman, A.,
Individual Common Dolphin Identification Via Metric Embedding Learning,
IVCNZ18(1-6)
IEEE DOI 1902
Dolphins, Training, Task analysis, Training data, Measurement, Sociology, Statistics BibRef

Horn, G.V., Aodha, O.M., Song, Y., Cui, Y., Sun, C., Shepard, A., Adam, H., Perona, P., Belongie, S.,
The iNaturalist Species Classification and Detection Dataset,
CVPR18(8769-8778)
IEEE DOI 1812
Observers, Training, Biodiversity, Computational modeling, Dogs BibRef

Nepovinnykh, E.[Ekaterina], Eerola, T.[Tuomas], Kälviäinen, H.[Heikki], Radchenko, G.[Gleb],
Identification of Saimaa Ringed Seal Individuals Using Transfer Learning,
ACIVS18(211-222).
Springer DOI 1810
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Carlucci, R., Maglietta, R., Buscaino, G., Cipriano, G., Milella, A., Pollazzon, V., Bondanese, P., de Leonardis, C., Mona, S., Nitti, M., Papale, E., Renò, V., Ricci, P., Stella, E., Fanizza, C.,
Review on research studies and monitoring system applied to cetaceans in the Gulf of Taranto (Northern Ionian sea, Central-Eastern Mediterranean Sea),
AVSS17(1-6)
IEEE DOI 1806
ecology, oceanographic regions, underwater sound, Central-Eastern Mediterranean Sea, Statistics BibRef

Parham, J., Stewart, C., Crall, J., Rubenstein, D., Holmberg, J., Berger-Wolf, T.,
An Animal Detection Pipeline for Identification,
WACV18(1075-1083)
IEEE DOI 1806
image classification, object detection, object recognition, 5-component detection pipeline, AoI accuracy, Training BibRef

Andrew, W., Greatwood, C., Burghardt, T.,
Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning,
Wildlife17(2850-2859)
IEEE DOI 1802
Cows, Pipelines, Proposals, Visualization BibRef

Blumrosen, G., Hawellek, D., Pesaran, B.,
Towards Automated Recognition of Facial Expressions in Animal Models,
Wildlife17(2810-2819)
IEEE DOI 1802
Computational modeling, Decoding, Dictionaries, Face recognition, Lips, Muscles, Streaming media BibRef

Zuffi, S., Kanazawa, A., Jacobs, D.W., Black, M.J.,
3D Menagerie: Modeling the 3D Shape and Pose of Animals,
CVPR17(5524-5532)
IEEE DOI 1711
Animals, Biological system modeling, Computational modeling, Data models, Shape, Solid modeling, BibRef

Ren, Z., Annie, A.N., Ciernia, V., Lee, Y.J.,
Who Moved My Cheese? Automatic Annotation of Rodent Behaviors with Convolutional Neural Networks,
WACV17(1277-1286)
IEEE DOI 1609
Insulation life, Neuroscience, Nose, Rodents, Tracking, Videos BibRef

Sorensen, S.[Scott], Treible, W.[Wayne], Hsu, L.[Leighanne], Wang, X.L.[Xiao-Long], Mahoney, A.R.[Andrew R.], Zitterbart, D.P.[Daniel P.], Kambhamettu, C.[Chandra],
Deep Learning for Polar Bear Detection,
SCIA17(I: 457-467).
Springer DOI 1706
BibRef

Sedlácek, M.[Matej], Haindl, M.[Michal], Formanová, D.[Dominika],
An Automatic Tortoise Specimen Recognition,
CIARP16(52-59).
Springer DOI 1703
BibRef

Chowdhury, S.[Sujan], Verma, B.[Brijesh], Roberts, J.[Jessica], Corbet, N.[Nicholas], Swain, D.[Dave],
Deep Learning Based Computer Vision Technique for Automatic Heat Detection in Cows,
DICTA16(1-6)
IEEE DOI 1701
Cows BibRef

Salem, G.[Ghadi], Krynitsky, J.[Jonathan], Kirkland, B.[Brett], Lin, E.[Eugene], Chan, A.[Aaron], Anfinrud, S.[Simeon], Anderson, S.[Sarah], Garmendia-Cedillos, M.[Marcial], Belayachi, R.[Rhamy], Alonso-Cruz, J.[Juan], Yu, J.[Joshua], Iano-Fletcher, A.[Anthony], Dold, G.[George], Talbot, T.[Tom], Kravitz, A.V.[Alexxai V.], Mitchell, J.B.[James B.], Wu, G.[Guanhang], Dennis, J.U.[John U.], Hayes, M.[Monson], Branson, K.[Kristin], Pohida, T.[Thomas],
Scalable Vision System for Mouse Homecage Ethology,
ACIVS16(626-637).
Springer DOI 1611
BibRef

Mondal, I., Kumar, R.S., Habib, B., Talukdar, G.,
Modelling Fine Scale Movement Corridors For The Tricarinate Hill Turtle,
ISPRS16(B8: 719-725).
DOI Link 1610
BibRef

Shukla, A., Anand, S.,
Metric learning based automatic segmentation of patterned species,
ICIP16(3982-3986)
IEEE DOI 1610
Animals BibRef

Monteiro, F.C.[Fernando C.],
Automatic Cattle Identification Using Graph Matching Based on Local Invariant Features,
ICIAR16(792-800).
Springer DOI 1608
BibRef

Hansen, M.[Mark], Smith, M.[Melvyn], Smith, L.[Lyndon], Hales, I.[Ian], Forbes, D.[Duncan],
Non-intrusive automated measurement of dairy cow body condition using 3D video,
MVAB15(xx-yy).
DOI Link 1601
BibRef

Anwar, H.[Hafeez], Zambanini, S.[Sebastian], Kampel, M.[Martin],
Invariant Image-Based Species Classification of Butterflies and Reef Fish,
MVAB15(xx-yy).
DOI Link 1601

See also Coarse-grained ancient coin classification using image-based reverse side motif recognition. BibRef

Chen, Y.C.[Yu-Chen], Hidayati, S.C.[Shintami C.], Cheng, W.H.[Wen-Huang], Hu, M.C.[Min-Chun], Hua, K.L.[Kai-Lung],
Locality Constrained Sparse Representation for Cat Recognition,
MMMod16(II: 140-151).
Springer DOI 1601
BibRef

Zhelezniakov, A.[Artem], Eerola, T.[Tuomas], Koivuniemi, M.[Meeri], Auttila, M.[Miina], Levänen, R.[Riikka], Niemi, M.[Marja], Kunnasranta, M.[Mervi], Kälviäinen, H.[Heikki],
Segmentation of Saimaa Ringed Seals for Identification Purposes,
ISVC15(II: 227-236).
Springer DOI 1601
BibRef

Gómez, A.[Alexander], Díez, G.[German], Giraldo, J.[Jhony], Salazar, A.[Augusto], Daza, J.M.[Juan M.],
A Markov Random Field and Active Contour Image Segmentation Model for Animal Spots Patterns,
ISVC15(II: 173-184).
Springer DOI 1601
BibRef

Mansourian, L.[Leila], Abdullah, M.T.[Muhamad Taufik], Abdullah, L.N.[Lilli Nurliyana], Azman, A.[Azreen], Mustaffa, M.R.[Mas Rina],
BoVW Model for Animal Recognition: An Evaluation on SIFT Feature Strategies,
IVIC15(227-236).
Springer DOI 1511
BibRef

Lorbach, M.[Malte], Poppe, R.[Ronald], van Dam, E.A.[Elsbeth A.], Noldus, L.P.J.J.[Lucas P.J.J.], Veltkamp, R.C.[Remco C.],
Automated Recognition of Social Behavior in Rats: The Role of Feature Quality,
CIAP15(II:565-574).
Springer DOI 1511
BibRef

Fariello, M.I.[Maria Ines], Amstrong, E.[Eileen], Fernandez, A.[Alicia],
Genetic Prediction in Bovine Meat Production: Is Worth Integrating Bayesian and Machine Learning Approaches? a Comprenhensive Analysis,
CIARP15(11-18).
Springer DOI 1511
BibRef

van Gemert, J.C.[Jan C.], Verschoor, C.R.[Camiel R.], Mettes, P.S.[Pascal S.], Epema, K.[Kitso], Koh, L.P.[Lian Pin], Wich, S.[Serge],
Nature Conservation Drones for Automatic Localization and Counting of Animals,
CVVT14(255-270).
Springer DOI 1504
BibRef

Gan, V.[Victor], Carr, P.[Peter], Soltis, J.[Joseph],
Monitoring Giraffe Behavior in Thermal Video,
AAVWS15(36-43)
IEEE DOI 1503
BibRef

Karnowski, J.[Jeremy], Hutchins, E.[Edwin], Johnson, C.[Christine],
Dolphin Detection and Tracking,
AAVWS15(51-56)
IEEE DOI 1503
BibRef

Wang, X.L.[Xiao-Long], Ly, V.[Vincent], Sorensen, S.[Scott], Kambhamettu, C.[Chandra],
Dog breed classification via landmarks,
ICIP14(5237-5241)
IEEE DOI 1502
Computational modeling BibRef

Monteiro, J.P.[Joao P.], Oliveira, H.P.[Helder P.], Aguiar, P.[Paulo], Cardoso, J.S.[Jaime S.],
A depth-map approach for automatic mice behavior recognition,
ICIP14(2261-2265)
IEEE DOI 1502
Cameras BibRef

Pistocchi, S.[Simone], Calderara, S.[Simone], Barnard, S.[Shanis], Ferri, N.[Nicola], Cucchiara, R.[Rita],
Kernelized Structural Classification for 3D Dogs Body Parts Detection,
ICPR14(1993-1998)
IEEE DOI 1412
Dogs BibRef

Tailanián, M.[Matías], Lecumberry, F.[Federico], Fernández, A.[Alicia], Gnemmi, G.[Giovanni], Meikle, A.[Ana], Pereira, I.[Isabel], Randall, G.[Gregory],
Dairy Cattle Sub-clinical Uterine Disease Diagnosis Using Pattern Recognition and Image Processing Techniques,
CIARP14(690-697).
Springer DOI 1411
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Albaradei, S.[Somayah], Wang, Y.[Yang], Cao, L.L.[Liang-Liang], Li, L.J.[Li-Jia],
Learning mid-level features from object hierarchy for image classification,
WACV14(235-240)
IEEE DOI 1406
Animals BibRef

Beugeling, T.[Trevor], Branzan-Albu, A.[Alexandra],
Computer Vision-Based Identification of Individual Turtles Using Characteristic Patterns of Their Plastrons,
CRV14(203-210)
IEEE DOI 1406
Databases BibRef

Gilman, A., Hupman, K., Stockin, K.A., Pawley, M.D.M.,
Computer-assisted recognition of dolphin individuals using dorsal fin pigmentations,
ICVNZ16(1-6)
IEEE DOI 1701
Distortion BibRef

Gilman, A., Dong, T.[Ting], Hupman, K., Stockin, K.A., Pawley, M.D.W.,
Dolphin fin pose correction using ICP in application to photo-identification,
IVCNZ13(388-393)
IEEE DOI 1412
image matching BibRef

Barba, S., Fiorillo, F., de Feo, E.,
3D-Antlers: Virtual Reconstruction and Three-Dimensional Measurement,
3DARCH13(15-20).
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Deer antlers. BibRef

Kashiha, M.[Mohammadamin], Bahr, C.[Claudia], Ott, S.[Sanne], Moons, C.P.H.[Christel P. H.], Niewold, T.A.[Theo A.], Ödberg, F.O.[Frank O.], Berckmans, D.[Daniel],
Weight Estimation of Pigs Using Top-View Image Processing,
ICIAR14(I: 496-503).
Springer DOI 1410
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Kashiha, M.A.[Mohammad Amin], Bahr, C.[Claudia], Ott, S.[Sanne], Moons, C.P.H.[Christel P. H.], Niewold, T.A.[Theo A.],
Automatic Monitoring of Pig Activity Using Image Analysis,
ACIVS13(555-563).
Springer DOI 1311
BibRef
And:
Automatic Identification of Marked Pigs in a Pen Using Image Pattern Recognition,
IbPRIA13(205-212).
Springer DOI 1307
BibRef

Crall, J.P., Stewart, C.V., Berger-Wolf, T.Y., Rubenstein, D.I., Sundaresan, S.R.,
HotSpotter: Patterned species instance recognition,
WACV13(230-237).
IEEE DOI 1303
Applied to various animals zebra, giraffe, leopard, lionfish BibRef

Wilber, M.J., Scheirer, W.J., Leitner, P., Heflin, B., Zott, J., Reinke, D., Delaney, D.K., Boult, T.E.,
Animal recognition in the Mojave Desert: Vision tools for field biologists,
WACV13(206-213).
IEEE DOI 1303
BibRef

Santhaseelan, V., Asari, V.K.,
Whale blow detection in infrared video using fractal analysis as tool for representing dynamic shape variation,
WACV13(520-525).
IEEE DOI 1303
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Zhao, S.Q.[San-Qiang], Gao, Y.S.[Yong-Sheng], Caelli, T., Bracco, F.,
An Automatic On-Site Fire Ant Screening System,
DICTA12(1-6).
IEEE DOI 1303
BibRef

Kim, J.P.[Jong-Pil], Pavlovic, V.[Vladimir],
Attribute rating for classification of visual objects,
ICPR12(1611-1614).
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rate attributes (high, low, etc.) BibRef

Liu, J.X.[Jiong-Xin], Kanazawa, A.[Angjoo], Jacobs, D.[David], Belhumeur, P.[Peter],
Dog Breed Classification Using Part Localization,
ECCV12(I: 172-185).
Springer DOI 1210

See also Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency. BibRef

Santhaseelan, V.[Varun], Arigela, S.[Saibabu], Asari, V.K.[Vijayan K.],
Neural Network Based Methodology for Automatic Detection of Whale Blows in Infrared Video,
ISVC12(I: 230-240).
Springer DOI 1209
BibRef

Gonzalez, C.M.T.[Carlos M. Travieso], Ticay-Rivas, J.R.[Jaime Roberto], del Pozo-Baños, M.[Marcos], Eberhard, W.G.[William G.], Alonso-Hernández, J.B.[Jesús B.],
Improving Spider Recognition Based on Biometric Web Analysis,
CIARP12(438-446).
Springer DOI 1209
BibRef

Dimas, A.[Antonios], Koletsis, P.[Pyrros], Petrakis, E.G.M.[Euripides G.M.],
DOGI: An Annotation System for Images of Dog Breeds,
ICIAR12(I: 410-417).
Springer DOI 1206
BibRef

Gururatsakul, S.[Suthep], Gibbins, D.[Danny], Kearney, D.[David],
A Simple Deformable Model for Shark Recognition,
CRV11(234-241).
IEEE DOI 1105
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Gururatsakul, S.[Suthep], Gibbins, D.[Danny], Kearney, D.[David], Lee, I.,
Shark detection using optical image data from a mobile aerial platform,
IVCNZ10(1-8).
IEEE DOI 1203
BibRef

Gatt, A., Wong, S., Kearney, D.,
Combining online feature selection with adaptive shape estimation,
IVCNZ10(1-8).
IEEE DOI 1203
BibRef

Ernst, A., Kublbeck, C.,
Fast face detection and species classification of African great apes,
AVSBS11(279-284).
IEEE DOI 1111
BibRef

González-Velasco, H.M.[Horacio M.], García-Orellana, C.J.[Carlos J.], Macías-Macías, M.[Miguel], Gallardo-Caballero, R.[Ramón], García-Manso, A.[Antonio],
Image Analysis Applied to Morphological Assessment in Bovine Livestock,
ACIVS11(316-326).
Springer DOI 1108
BibRef

Alegre, E.[Enrique], García-Ordás, M.T.[María Teresa], González-Castro, V.[Víctor], Karthikeyan, S.,
Vitality Assessment of Boar Sperm Using N Concentric Squares Resized (NCSR) Texture Descriptor in Digital Images,
IbPRIA11(540-547).
Springer DOI 1106
BibRef

Alegre, E.[Enrique], García-Olalla, O.[Oscar], González-Castro, V.[Víctor], Joshi, S.[Swapna],
Boar Spermatozoa Classification Using Longitudinal and Transversal Profiles (LTP) Descriptor in Digital Images,
IWCIA11(410-419).
Springer DOI 1105
BibRef

Wirthgen, T.[Tom], Zipser, S.[Stephan], Franze, U.[Ulrike], Geidel, S.[Steffi], Dietel, F.[Franz], Alary, T.[Theophile],
Automatic Segmentation of Veterinary Infrared Images with the Active Shape Approach,
SCIA11(435-446).
Springer DOI 1105
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Gobi, A.F.,
Towards Generalized Benthic Species Recognition and Quantification Using Computer Vision,
PSIVT10(94-100).
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Seabed resources. BibRef

Roberts, P.L.D.[Paul L.D.], Jaffe, J.S.[Jules S.], Trivedi, M.M.[Mohan M.],
A multiview, multimodal fusion framework for classifying small marine animals with an opto-acoustic imaging system,
WACV09(1-6).
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Martinkappi, J.B.[J. Birgitta], Kekäläinen, J.[Jukka], Shatilova, Y.[Yevgeniya], Parkkinen, J.[Jussi],
Carotenoid Concentration of Arctic Charr (Salvelinus Alpinus L.) from Spectral Data,
ACIVS09(562-570).
Springer DOI 0909
BibRef

Harron, W., Dony, R.,
Predicting quality measures in beef cattle using ultrasound imaging,
CIIP09(96-103).
IEEE DOI 0903
BibRef

Afkham, H.M.[Heydar Maboudi], Targhi, A.T.[Alireza Tavakoli], Eklundh, J.O.[Jan-Olof], Pronobis, A.[Andrzej],
Joint visual vocabulary for animal classification,
ICPR08(1-4).
IEEE DOI 0812
BibRef

González-Velasco, H.M.[Horacio M.], García-Orellana, C.J.[Carlos J.], Macías-Macías, M.[Miguel], Gallardo-Caballero, R.[Ramón], Álvarez-Franco, F.J.[Fernando J.],
A Method for Interactive Shape Detection in Cattle Images Using Genetic Algorithms,
CAIP07(694-701).
Springer DOI 0708
BibRef

Berg, T.L.[Tamara L.], Forsyth, D.A.[David A.],
Animals on the Web,
CVPR06(II: 1463-1470).
IEEE DOI 0606
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Barata, T.[Teresa], Brooks, S.P.[Steve P.],
Dolphins Who's Who: A Statistical Perspective,
SCIA05(429-438).
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From fin shapes. BibRef

Ranguelova, E., Huiskes, M.J., Paumels, E.J.,
Towards computer-assisted photo-identification of humpback whales,
ICIP04(III: 1727-1730).
IEEE DOI 0505
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Mackenzie, G.[Graham], Alechina, N.[Natasha],
Classifying Sketches of Animals Using an Agent-Based System,
CAIP03(521-529).
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Kuo, C.H., Tewfik, A.H.,
Active Contour Based Rock Sole Recognition,
ICIP00(Vol II: 724-727).
IEEE DOI 0008
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Zhang, H.L., Wilson, D.E., Rouse, G.H.,
Image analysis and application systems in quality evaluation and prediction for meat and live meat animals,
ICIP94(III: 241-244).
IEEE DOI 9411
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Benmouffek, J., Belaid, Y., Belaid, A.,
An Expert Module To Recognize Injured Rat Footprint Images,
ICPR92(I:579-582).
IEEE DOI BibRef 9200

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Wildlife Detection, Analysis .


Last update:Mar 16, 2024 at 20:36:19