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,
PhEngRS(48), No. 12, December 1982, pp. 1879-1889.
A remote sensing application.
BibRef
8212
Trivedi, M.M.,
Wyatt, C.L.,
Anderson, D.R., and
Voorheis, H.T.,
Designing a Deer Detection System Using a
Multistage Classification Approach,
PhEngRS(50), No. 4, April 1984, pp. 481-491.
Multispectral.
Real Time Vision.
BibRef
8404
Weeks, P.J.D.,
O'Neill, M.A.,
Gaston, K.J.,
Gauld, I.D.,
Species:
Identification of wasps using principal component associative memories,
IVC(17), No. 12, October 1999, pp. 861-866.
Elsevier DOI
BibRef
9910
Twiss, S.D.[Sean D.],
Pomeroy, P.P.[Paddy P.],
Thomas, C.J.[Christopher J.],
Mills, J.P.[Jon P.],
Remote Estimation of Grey Seal Length, Width, and Body Mass from Aerial
Photography,
PhEngRS(66), No. 7, July 2000, pp. 859-866.
Use high-resolution aerial photographs in combination with fine-grade DEMs.
0008
BibRef
Mori, T.[Toru],
Kuno, Y.J.[Yu-Ji],
Yamakita, O.[Osamu],
Tsukada, M.[Mitsuyoshi],
Animal body identifying device and body identifying system,
US_Patent6,081,607, Jun 27, 2000
WWW Link. Eye and body shape
BibRef
0006
Razavi, N.[Nima],
Samei, G.[Golnoosh],
Alipour, M.[Masoud],
Farhadi, A.[Ali],
How to tell the difference between a cat and a dog?,
IJIST(16), No. 5, 2006, pp. 234-239.
DOI Link
0704
BibRef
Barbato, M.[Maria],
Bernard, M.[Marco],
Borrelli, L.[Luciana],
Fiorito, G.[Graziano],
Body patterns in cephalopods:
'Polyphenism' as a way of information exchange,
PRL(28), No. 14, 15 October 2007, pp. 1854-1864.
Elsevier DOI
0710
Communication; Behavior; Signals; Body patterns; Cephalopods;
Mollusca; Invertebrates
BibRef
Fink, M.[Michael],
Ullman, S.[Shimon],
From Aardvark to Zorro: A Benchmark for Mammal Image Classification,
IJCV(77), No. 1-3, May 2008, pp. 143-156.
Springer DOI
0803
BibRef
Lau, P.Y.,
Correia, P.L.,
Fonseca, P.,
Campos, A.,
Estimating Norway lobster abundance from deep-water videos:
An automatic approach,
IET-IPR(6), No. 1, 2012, pp. 22-30.
DOI Link
1202
BibRef
Cambra-López, M.,
Hermosilla, T.,
Aarnink, A.J.A.,
Oginkc, N.W.M.,
A methodology to select particle morpho-chemical characteristics to
use in source apportionment of particulate matter from livestock houses,
CompElAg(81), No. 2, February 2012, pp. 14-23.
Elsevier DOI Microscopic images, dust identification, image classification
BibRef
1202
Farah, R.,
Langlois, J.M.P.,
Bilodeau, G.A.,
Catching a Rat by Its Edglets,
IP(22), No. 2, February 2013, pp. 668-678.
IEEE DOI
1302
BibRef
Tu, G.J.[Gang Jun],
Karstoft, H.,
Pedersen, L.J.,
Jørgensen, E.,
Segmentation of sows in farrowing pens,
IET-IPR(8), No. 1, January 2014, pp. 56-68.
DOI Link
1403
image segmentation
BibRef
Lo, N.W.[Neng-Wen],
Chang, H.T.[Hsuan T.],
Chang, J.Y.[Jiang-Yu],
Caged mice mating behavior detection in surveillance videos,
JVCIR(25), No. 5, 2014, pp. 755-762.
Elsevier DOI
1406
Mice mating
BibRef
Faria, F.A.,
Perre, P.,
Zucchi, R.A.,
Jorge, L.R.,
Lewinsohn, T.M.,
Rocha, A.,
da Silva Torres, R.,
Automatic identification of fruit flies (Diptera: Tephritidae),
JVCIR(25), No. 7, 2014, pp. 1516-1527.
Elsevier DOI
1410
Anastrepha
BibRef
Duyck, J.[James],
Finn, C.[Chelsea],
Hutcheon, A.[Andy],
Vera, P.[Pablo],
Salas, J.[Joaquin],
Ravela, S.[Sai],
Sloop:
A pattern retrieval engine for individual animal identification,
PR(48), No. 4, 2015, pp. 1059-1073.
Elsevier DOI
1502
Photo-identification
BibRef
Jansen, M.[Michael],
Giesel, M.[Martin],
Zaidi, Q.[Qasim],
Segregating animals in naturalistic surroundings:
Interaction of color distributions and mechanisms,
JOSA-A(33), No. 3, March 2016, pp. A273-A282.
DOI Link
1603
Color vision; Psychophysics
BibRef
Zhang, Z.,
He, Z.,
Cao, G.,
Cao, W.,
Animal Detection From Highly Cluttered Natural Scenes Using
Spatiotemporal Object Region Proposals and Patch Verification,
MultMed(18), No. 10, October 2016, pp. 2079-2092.
IEEE DOI
1610
feature extraction
BibRef
Kumar, S.[Santosh],
Singh, S.K.[Sanjay Kumar],
Visual animal biometrics: survey,
IET-Bio(6), No. 3, May 2017, pp. 139-156.
DOI Link
1704
BibRef
Kumar, S.[Santosh],
Singh, S.K.[Sanjay Kumar],
Singh, A.K.[Amit Kumar],
Muzzle point pattern based techniques for individual cattle
identification,
IET-IPR(11), No. 10, October 2017, pp. 805-814.
DOI Link
1710
BibRef
Kumar, S.[Santosh],
Singh, S.K.[Sanjay Kumar],
Singh, R.S.[Ravi Shankar],
Singh, A.K.[Amit Kumar],
Tiwari, S.[Shrikant],
Real-time recognition of cattle using animal biometrics,
RealTimeIP(13), No. 3, September 2017, pp. 505-526.
Springer DOI
1710
BibRef
Yu, P.B.[Peng-Bo],
Li, Y.D.[Yi-Dan],
Xu, B.[Bo],
Wei, J.[Jing],
Li, S.[Shen],
Dong, J.H.[Jian-Hua],
Qu, J.H.[Jian-Hui],
Xu, J.[Jing],
Huang, Z.Y.X.[Zheng Y.X.],
Ma, C.F.[Chao-Feng],
Yang, J.[Jing],
Zhang, G.G.[Guo-Gang],
Chen, B.[Bin],
Huang, S.Q.[Shan-Qian],
Shi, C.M.[Chun-Ming],
Gao, H.W.[Hong-Wei],
Liu, F.[Feng],
Tian, H.Y.[Huai-Yu],
Stenseth, N.C.[Nils C.],
Xu, B.[Bing],
Wang, J.U.[Jingj-Un],
Using Satellite Data for the Characterization of Local Animal
Reservoir Populations of Hantaan Virus on the Weihe Plain, China,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
And:
Addendum:
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Xue, Y.F.[Yi-Fei],
Wang, T.J.[Tie-Jun],
Skidmore, A.K.[Andrew K.],
Automatic Counting of Large Mammals from Very High Resolution
Panchromatic Satellite Imagery,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Chehrsimin, T.[Tina],
Eerola, T.[Tuomas],
Koivuniemi, M.[Meeri],
Auttila, M.[Miina],
Levänen, R.[Riikka],
Niemi, M.[Marja],
Kunnasranta, M.[Mervi],
Kälviäinen, H.[Heikki],
Automatic individual identification of Saimaa ringed seals,
IET-CV(12), No. 2, March 2018, pp. 146-152.
DOI Link
1804
BibRef
Akkaya, I.B.[Ibrahim Batuhan],
Halici, U.[Ugur],
Mouse face tracking using convolutional neural networks,
IET-CV(12), No. 2, March 2018, pp. 153-161.
DOI Link
1804
BibRef
Taheri, S.[Shahram],
Toygar, Ö.[Önsen],
Animal classification using facial images with score-level fusion,
IET-CV(12), No. 5, August 2018, pp. 679-685.
DOI Link
1807
BibRef
Taheri, S.[Shahram],
Toygar, Ö.[Önsen],
Multi-stage age estimation using two level fusions of handcrafted and
learned features on facial images,
IET-Bio(8), No. 2, March 2019, pp. 124-133.
DOI Link
1902
BibRef
Halls, J.N.[Joanne N.],
Hill, J.M.[Jeffery M.],
Urbanek, R.E.[Rachael E.],
Sutton, H.[Hope],
Distribution Pattern of Red Fox (Vulpes vulpes) Dens and Spatial
Relationships with Sea Turtle Nests, Recreation, and Environmental
Characteristics,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Oishi, Y.[Yu],
Oguma, H.[Hiroyuki],
Tamura, A.[Ayako],
Nakamura, R.[Ryosuke],
Matsunaga, T.[Tsuneo],
Animal Detection Using Thermal Images and Its Required Observation
Conditions,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
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],
Application of a Continuous Terrestrial Photogrammetric Measurement
System for Plot Monitoring in the Beijing Songshan National Nature
Reserve,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
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,
IVCNZ18(1-6)
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],
Exposure of Marine Turtle Nesting Grounds to Named Storms Along the
Continental USA,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Valerio, F.[Francesco],
Ferreira, E.[Eduardo],
Godinho, S.[Sérgio],
Pita, R.[Ricardo],
Mira, A.[António],
Fernandes, N.[Nelson],
Santos, S.M.[Sara M.],
Predicting Microhabitat Suitability for an Endangered Small Mammal
Using Sentinel-2 Data,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
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,
ICISP20(54-61).
Springer DOI
2009
BibRef
Bird, C.N.[Clara N.],
Dawn, A.H.[Allison H.],
Dale, J.[Julian],
Johnston, D.W.[David W.],
A Semi-Automated Method for Estimating Adélie Penguin Colony
Abundance from a Fusion of Multispectral and Thermal Imagery
Collected with Unoccupied Aircraft Systems,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Castro, J.[Joana],
Borges, F.O.[Francisco O.],
Cid, A.[André],
Laborde, M.I.[Marina I.],
Rosa, R.[Rui],
Pearson, H.C.[Heidi C.],
Assessing the Behavioural Responses of Small Cetaceans to Unmanned
Aerial Vehicles,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Ulhaq, A.[Anwaar],
Adams, P.[Peter],
Cox, T.E.[Tarnya E.],
Khan, A.[Asim],
Low, T.[Tom],
Paul, M.[Manoranjan],
Automated Detection of Animals in Low-Resolution Airborne Thermal
Imagery,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Li, X.H.[Xiang-Hua],
Hou, J.L.[Jin-Liang],
Huang, C.L.[Chun-Lin],
High-Resolution Gridded Livestock Projection for Western China Based
on Machine Learning,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
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],
Facial Recognition of Dairy Cattle Based on Improved Convolutional
Neural Network,
IEICE(E105-D), No. 6, June 2022, pp. 1234-1238.
WWW Link.
2206
BibRef
Bai, H.[Hui],
Wang, B.[Baizhu],
Zhu, Y.J.[Yuan-Jun],
Kwon, S.[Semyung],
Yang, X.H.[Xiao-Hui],
Zhang, K.[Kebin],
Spatiotemporal Change in Livestock Population and Its Correlation
with Meteorological Disasters during 2000-2020 across Inner Mongolia,
IJGI(11), No. 10, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Pan, H.[Hang],
Xie, L.[Lun],
Wang, Z.L.[Zhi-Liang],
Plant and Animal Species Recognition Based on Dynamic Vision
Transformer Architecture,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Mattina, M.[Morann],
Benzinou, A.[Abdesslam],
Nasreddine, K.[Kamal],
Richard, F.[Francis],
An efficient anchor-free method for pig detection,
IET-IPR(17), No. 2, 2023, pp. 613-626.
DOI Link
2302
BibRef
Rueegg, N.[Nadine],
Zuffi, S.[Silvia],
Schindler, K.[Konrad],
Black, M.J.[Michael J.],
BARC: Breed-Augmented Regression Using Classification for 3D Dog
Reconstruction from Images,
IJCV(131), No. 8, August 2023, pp. 1964-1979.
Springer DOI
2307
BibRef
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],
MaskDis R-CNN: An instance segmentation algorithm with adversarial
network for herd pigs,
IET-IPR(17), No. 12, 2023, pp. 3488-3499.
DOI Link
2310
adversarial networks, image recognition/overlapped pigs,
instance segmentation, MaskDis R-CNN
BibRef
Liu, S.[Sicong],
Fan, Q.[Qingcheng],
Li, S.Q.[Shu-Qin],
Zhao, C.J.[Chun-Jiang],
MAPoseNet: Animal pose estimation network via multi-scale
convolutional attention,
JVCIR(97), 2023, pp. 103989.
Elsevier DOI
2312
Animal pose estimation, Attention mechanism,
Asymmetric convolution, Feature pyramid
BibRef
Chan, Y.K.[Yung-Kuan],
Lin, C.H.[Chuen-Horng],
Wang, C.L.[Ching-Lin],
Tu, K.C.[Keng-Chang],
Yang, S.C.[Shu-Chun],
Tsai, M.H.[Meng-Hsiun],
Yu, S.S.[Shyr-Shen],
Dog identification based on textural features and spatial relation of
noseprint,
PR(151), 2024, pp. 110353.
Elsevier DOI Code:
WWW Link.
2404
Dog identification, Dog noseprint, Detection, Segmentation, Scaly block
BibRef
Martvel, G.[George],
Shimshoni, I.[Ilan],
Zamansky, A.[Anna],
Automated Detection of Cat Facial Landmarks,
IJCV(132), No. 8, August 2024, pp. 3103-3118.
Springer DOI
2408
BibRef
Ocholla, I.A.[Ian A.],
Pellikka, P.[Petri],
Karanja, F.[Faith],
Vuorinne, I.[Ilja],
Väisänen, T.[Tuomas],
Boitt, M.[Mark],
Heiskanen, J.[Janne],
Livestock Detection and Counting in Kenyan Rangelands Using Aerial
Imagery and Deep Learning Techniques,
RS(16), No. 16, 2024, pp. 2929.
DOI Link
2408
BibRef
Deane, J.[Jake],
Kearney, S.[Sinéad],
Kim, K.I.[Kwang In],
Cosker, D.[Darren],
RGBT-Dog: A Parametric Model and Pose Prior For Canine Body Analysis
Data Creation,
WACV24(6044-6054)
IEEE DOI
2404
Training, Animals, Computational modeling, Multitasking,
Motion capture, Data models, Algorithms, Biometrics, face, gesture,
Animals / Insects
BibRef
Smink, M.[Moniek],
Liu, H.T.[Hao-Tian],
Döpfer, D.[Dörte],
Lee, Y.J.[Yong Jae],
Computer Vision on the Edge: Individual Cattle Identification in
Real-time with ReadMyCow System,
WACV24(7041-7050)
IEEE DOI
2404
Productivity, Image edge detection, Computational modeling,
Decision making, Ear, Cows, Applications, Agriculture, Applications,
Animals / Insects
BibRef
Islam, S.M.S.[Syed Mohammed Shamsul],
Shah, S.A.A.[Syed Afaq Ali],
Nguyen, C.D.M.[Chau Duc Minh],
Deep Learning Approach for Automatic Segmentation of Dirt on Cattle
Skin using Image Data,
IVCNZ23(1-6)
IEEE DOI
2403
Image segmentation, Habitats, Manuals, Cows, Soil, Skin, Reliability,
Deep Learning, Image Analysis, Segmentation, Detection
BibRef
Rüegg, N.[Nadine],
Zuffi, S.[Silvia],
Schindler, K.[Konrad],
Black, M.J.[Michael J.],
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],
Sketch-inspector: A Deep Mixture Model for High-quality Sketch
Generation of Cats,
ISVC20(I:95-106).
Springer DOI
2103
BibRef
Szymanski, L.,
Lee, M.,
Deep Sheep: kinship assignment in livestock from facial images,
IVCNZ20(1-6)
IEEE DOI
2012
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],
Deep Cross-species Feature Learning for Animal Face Recognition via
Residual Interspecies Equivariant Network,
ECCV20(XXVII:667-682).
Springer DOI
2011
BibRef
Khan, M.H.,
McDonagh, J.,
Khan, S.,
Shahabuddin, M.,
Arora, A.,
Khan, F.S.,
Shao, L.,
Tzimiropoulos, G.,
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal
Faces,
CVPR20(6937-6946)
IEEE DOI
2008
Benchmark testing, Horses, Ear, Shape
BibRef
Mu, J.,
Qiu, W.,
Hager, G.D.,
Yuille, A.L.,
Learning From Synthetic Animals,
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)
IEEE DOI
2008
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],
Automatic Estrus Cycle Identification System on Female Dogs Based on
Deep Learning,
MCPR20(261-268).
Springer DOI
2007
BibRef
Singh, A.,
Pietrasik, M.,
Natha, G.,
Ghouaiel, N.,
Brizel, K.,
Ray, N.,
Animal Detection in Man-made Environments,
WACV20(1427-1438)
IEEE DOI
2006
Animals, Detectors, Training, Labeling, Tools, Machine learning,
Object detection
BibRef
Gao, J.[Jing],
Burghardt, T.[Tilo],
Campbell, N.W.[Neill W.],
Label a Herd in Minutes: Individual Holstein-Friesian Cattle
Identification,
LPLF22(384-396).
Springer DOI
2208
BibRef
Andrew, W.,
Hannuna, S.,
Campbell, N.W.,
Burghardt, T.,
Automatic individual holstein friesian cattle identification via
selective local coat pattern matching in RGB-D imagery,
ICIP16(484-488)
IEEE DOI
1610
Cows
BibRef
Andrew, W.,
Greatwood, C.,
Burghardt, T.,
Fusing Animal Biometrics with Autonomous Robotics: Drone-based Search
and Individual ID of Friesian Cattle (Extended Abstract),
WACVWS20(38-43)
IEEE DOI
2006
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).
DOI Link
1912
BibRef
Bhole, A.[Amey],
Falzon, O.[Owen],
Biehl, M.[Michael],
Azzopardi, G.[George],
A Computer Vision Pipeline that Uses Thermal and RGB Images for the
Recognition of Holstein Cattle,
CAIP19(II:108-119).
Springer DOI
1909
BibRef
Biggs, B.[Benjamin],
Boyne, O.[Oliver],
Charles, J.[James],
Fitzgibbon, A.W.[Andrew W.],
Cipolla, R.[Roberto],
Who Left the Dogs Out? 3d Animal Reconstruction with Expectation
Maximization in the Loop,
ECCV20(XI:195-211).
Springer DOI
2011
BibRef
Biggs, B.[Benjamin],
Roddick, T.[Thomas],
Fitzgibbon, A.W.[Andrew W.],
Cipolla, R.[Roberto],
Creatures Great and SMAL:
Recovering the Shape and Motion of Animals from Video,
ACCV18(V:3-19).
Springer DOI
1906
BibRef
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
BibRef
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
BibRef
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).
DOI Link
1308
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
BibRef
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
BibRef
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).
WWW Link.
1302
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
BibRef
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
BibRef
Gobi, A.F.,
Towards Generalized Benthic Species Recognition and Quantification
Using Computer Vision,
PSIVT10(94-100).
IEEE DOI
1011
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).
IEEE DOI
0912
BibRef
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
BibRef
Barata, T.[Teresa],
Brooks, S.P.[Steve P.],
Dolphins Who's Who: A Statistical Perspective,
SCIA05(429-438).
Springer DOI
0506
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
BibRef
Mackenzie, G.[Graham],
Alechina, N.[Natasha],
Classifying Sketches of Animals Using an Agent-Based System,
CAIP03(521-529).
Springer DOI
0311
BibRef
Kuo, C.H.,
Tewfik, A.H.,
Active Contour Based Rock Sole Recognition,
ICIP00(Vol II: 724-727).
IEEE DOI
0008
BibRef
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
BibRef
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 .