19.7.3.7.13 Wildlife Detection, Analysis

Chapter Contents (Back)
Wildlife. Animals. Application, Inspection.

Ardovini, A.[Alessandro], Cinque, L.[Luigi], Sangineto, E.[Enver],
Identifying elephant photos by multi-curve matching,
PR(41), No. 6, June 2008, pp. 1867-1877.
Elsevier DOI 0802
Elephant photo identification; Image retrieval by shape; Symmetric invariant multiple curve matching BibRef

Ardovini, A.[Alessandro], Cinque, L.[Luigi], Rocca, F.D.[Francesca Della], Sangineto, E.[Enver],
A Semi-automatic Approach to Photo Identification of Wild Elephants,
IbPRIA07(I: 225-232).
Springer DOI 0706
BibRef

Wawerla, J.[Jens], Marshall, S.[Shelley], Mori, G.[Greg], Rothley, K.[Kristina], Sabzmeydani, P.[Payam],
BearCam: automated wildlife monitoring at the arctic circle,
MVA(20), No. 5, July 2009, pp. xx-yy.
Springer DOI 0906
BibRef

Zhang, W.W.[Wei-Wei], Sun, J.[Jian], Tang, X.[Xiaoou],
From Tiger to Panda: Animal Head Detection,
IP(20), No. 6, June 2011, pp. 1696-1708.
IEEE DOI 1106
BibRef
Earlier:
Cat Head Detection: How to Effectively Exploit Shape and Texture Features,
ECCV08(IV: 802-816).
Springer DOI 0810
BibRef

Yong, S.P.[Suet-Peng], Deng, J.D.[Jeremiah D.], Purvis, M.K.[Martin K.],
Novelty detection in wildlife scenes through semantic context modelling,
PR(45), No. 9, September 2012, pp. 3439-3450.
Elsevier DOI 1206
BibRef
Earlier:
Modeling semantic context for key-frame extraction in wildlife video,
IVCNZ10(1-8).
IEEE DOI 1203
Novelty detection; Co-occurrence matrices; Semantic context; Multiple one-class models BibRef

Zeppelzauer, M.[Matthias],
Automated detection of elephants in wildlife video,
JIVP(2013), No. 1, 2013, pp. xx-yy.
DOI Link 1309
BibRef

Yu, X., Wang, J., Kays, R., Jansen, P.A., Wang, T., Huang, T.,
Automated identification of animal species in camera trap images,
JIVP(2013), No. 1, 2013, pp. 52.
DOI Link 1309
BibRef

Swanson, A.[Alexandra], Kosmala, M.[Margaret], Lintott, C.[Chris], Simpson, R.[Robert], Smith, A.[Arfon], Packer, C.[Craig],
Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna,
ScientificData(2), June 2015, Article 150026.
DOI Link 1506
Dataset, Animals. Covered by many news outlets. Thousands of pictures of animals from motion activated cameras planted in the Serengeti. Includes interface for people to identify, etc. A great resource for automated detection and identification. BibRef

Witharana, C.[Chandi], LaRue, M.A.[Michelle A.], Lynch, H.J.[Heather J.],
Benchmarking of data fusion algorithms in support of earth observation based Antarctic wildlife monitoring,
PandRS(113), No. 1, 2016, pp. 124-143.
Elsevier DOI 1602
Penguins BibRef

Leblanc, G.[George], Francis, C.M.[Charles M.], Soffer, R.[Raymond], Kalacska, M.[Margaret], de Gea, J.[Julie],
Spectral Reflectance of Polar Bear and Other Large Arctic Mammal Pelts; Potential Applications to Remote Sensing Surveys,
RS(8), No. 4, 2016, pp. 273.
DOI Link 1604
BibRef

Wang, D.L.[Dong-Liang], Shao, Q.Q.[Quan-Qin], Yue, H.Y.[Huan-Yin],
Surveying Wild Animals from Satellites, Manned Aircraft and Unmanned Aerial Systems (UASs): A Review,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Giraldo-Zuluaga, J.H.[Jhony-Heriberto], Salazar, A.[Augusto], Gomez, A.[Alexander], Diaz-Pulido, A.[Angélica],
Camera-trap images segmentation using multi-layer robust principal component analysis,
VC(35), No. 3, March 2019, pp. 335-347.
Springer DOI 1906
Animal monitoring. BibRef

Peng, J.B.[Jin-Bang], Wang, D.L.[Dong-Liang], Liao, X.H.[Xiao-Han], Shao, Q.Q.[Quan-Qin], Sun, Z.G.[Zhi-Gang], Yue, H.Y.[Huan-Yin], Ye, H.[Huping],
Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau,
PandRS(169), 2020, pp. 364-376.
Elsevier DOI 2011
Wild animal survey, Deep learning, Object detection, Unmanned aircraft systems (UAS) BibRef

Orusa, T.[Tommaso], Orusa, R.[Riccardo], Viani, A.[Annalisa], Carella, E.[Emanuele], Mondino, E.B.[Enrico Borgogno],
Geomatics and EO Data to Support Wildlife Diseases Assessment at Landscape Level: A Pilot Experience to Map Infectious Keratoconjunctivitis in Chamois and Phenological Trends in Aosta Valley (NW Italy),
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Venkitasubramanian, A.N.[Aparna Nurani], Tuytelaars, T.[Tinne], Moens, M.F.[Marie-Francine],
Wildlife recognition in nature documentaries with weak supervision from subtitles and external data,
PRL(81), No. 1, 2016, pp. 63-70.
Elsevier DOI 1609
Wildlife recognition BibRef

Fudala, K.[Katarzyna], Bialik, R.J.[Robert Józef],
Breeding Colony Dynamics of Southern Elephant Seals at Patelnia Point, King George Island, Antarctica,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef
And: Correction: RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Zhu, P.F.[Peng-Fei], Peng, T.[Tao], Du, D.[Dawei], Yu, H.T.[Hong-Tao], Zhang, L.[Libo], Hu, Q.H.[Qing-Hua],
Graph Regularized Flow Attention Network for Video Animal Counting From Drones,
IP(30), 2021, pp. 5339-5351.
IEEE DOI 2106
Animals, Drones, Annotations, Wildlife, Image resolution, Agriculture, Optical losses, Animal counting, drone, multi-granularity loss BibRef

Lee, S.[Seunghyeon], Song, Y.[Youngkeun], Kil, S.H.[Sung-Ho],
Feasibility Analyses of Real-Time Detection of Wildlife Using UAV-Derived Thermal and RGB Images,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Morgan, L.R.[Laura R.], Marsh, K.J.[Karen J.], Tolleson, D.R.[Douglas R.], Youngentob, K.N.[Kara N.],
The Application of NIRS to Determine Animal Physiological Traits for Wildlife Management and Conservation,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wang, L., Ding, R., Zhai, Y., Zhang, Q., Tang, W., Zheng, N., Hua, G.,
Giant Panda Identification,
IP(30), 2021, pp. 2837-2849.
IEEE DOI 2102
Task analysis, Detectors, Feature extraction, Annotations, Visualization, Face recognition, Convolution, fine-grained recognition BibRef

Baralle, G.[Guillaume], Marchal, A.F.J.[Antoine F. J.], Lejeune, P.[Philippe], Michez, A.[Adrien],
Individual Identification of Cheetah (Acinonyx jubatus) Based on Close-Range Remote Sensing: First Steps of a New Monitoring Technique,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Kim, M.Y.[Min-Young], Chung, O.S.[Ok-Sik], Lee, J.K.[Jong-Koo],
A Manual for Monitoring Wild Boars (Sus scrofa) Using Thermal Infrared Cameras Mounted on an Unmanned Aerial Vehicle (UAV),
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef


Cunha, F.[Fagner], dos Santos, E.M.[Eulanda M.], Barreto, R.[Raimundo], Colonna, J.G.[Juan G.],
Filtering Empty Camera Trap Images in Embedded Systems,
MAI21(2438-2446)
IEEE DOI 2109
Training, Performance evaluation, Quantization (signal), Image edge detection, Computational modeling, Wildlife, Detectors BibRef

Weideman, H.J., Stewart, C.V., Parham, J.R., Holmberg, J., Flynn, K., Calambokidis, J., Paul, D.B., Bedetti, A., Henley, M., Lepirei, J., Pope, F.G.,
Extracting identifying contours for African elephants and humpback whales using a learned appearance model,
WACV20(1265-1274)
IEEE DOI 2006
Training data, Ear, Training, Whales, Image edge detection, Data mining BibRef

Cheng, X., Zhu, J., Zhang, N., Wang, Q., Zhao, Q.,
Detection Features as Attention (Defat): A Keypoint-Free Approach to Amur Tiger Re-Identification,
ICIP20(2231-2235)
IEEE DOI 2011
Feature extraction, Pipelines, Cameras, Training, Animals, Probes, Additives, animal re-identification, keypoint-free, attention BibRef

Singh, P., Lindshield, S.M., Zhu, F., Reibman, A.R.,
Animal Localization in Camera-Trap Images with Complex Backgrounds,
SSIAI20(66-69)
IEEE DOI 2009
biology computing, convolutional neural nets, image motion analysis, principal component analysis, zoology, Animal localization BibRef

Zuffi, S., Kanazawa, A., Berger-Wolf, T., Black, M.,
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images 'In the Wild',
ICCV19(5358-5367)
IEEE DOI 2004
biology computing, image capture, image texture, Computational modeling, learning (artificial intelligence), natural scenes, optimisation. BibRef

Körschens, M., Denzler, J.,
ELPephants: A Fine-Grained Dataset for Elephant Re-Identification,
CVWC19(263-270)
IEEE DOI 2004
computer vision, feature extraction, image classification, image colour analysis, image segmentation, re-identification BibRef

Yang, X., Mirmehdi, M., Burghardt, T.,
Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending,
CVWC19(255-262)
IEEE DOI 2004
cameras, computer vision, feature extraction, image classification, image motion analysis, image segmentation, image sequences, Video Object Detection BibRef

Liu, N., Zhao, Q., Zhang, N., Cheng, X., Zhu, J.,
Pose-Guided Complementary Features Learning for Amur Tiger Re-Identification,
CVWC19(286-293)
IEEE DOI 2004
Code, Recognition.
WWW Link. computer vision, ecology, environmental science computing, feature extraction, image classification, Wildlife Conservation BibRef

Yu, J., Su, H., Liu, J., Yang, Z., Zhang, Z., Zhu, Y., Yang, L., Jiao, B.,
A Strong Baseline for Tiger Re-ID and its Bag of Tricks,
CVWC19(302-309)
IEEE DOI 2004
Code, Recognition.
WWW Link. feature extraction, image matching, image sampling, learning (artificial intelligence), object detection, flip as new id BibRef

Kupyn, O., Pranchuk, D.,
Fast and Efficient Model for Real-Time Tiger Detection In The Wild,
CVWC19(310-314)
IEEE DOI 2004
biology computing, cameras, object detection, supervised learning, zoology, Amur Tiger Detection, edge devices, smart cameras, tigers BibRef

Liu, C., Zhang, R., Guo, L.,
Part-Pose Guided Amur Tiger Re-Identification,
CVWC19(315-322)
IEEE DOI 2004
Code, Recognition.
WWW Link. inference mechanisms, learning (artificial intelligence), pose estimation, PlainID competitions, WildID competitions, Pose Alignment BibRef

Shukla, A., Anderson, C., Cheema, G.S.[G. Sigh], Gao, P., Onda, S., Anshumaan, D., Anand, S., Farrell, R.,
A Hybrid Approach to Tiger Re-Identification,
CVWC19(294-301)
IEEE DOI 2004
Code, Recognition.
WWW Link. computer vision, data analysis, entropy, feature extraction, image classification, image matching, image representation, tigers BibRef

Wang, H., Song, Y., Li, S., Dai, W., Liu, J.,
Transfer Learning Based Wildlife Recognition for Tele-Observation in Field Occlusion Environment,
ICIP19(3392-3396)
IEEE DOI 1910
customized loss function, anti-occlusion, wildlife monitoring, transfer learning, CNN BibRef

Agarwal, M., Sinha, S., Singh, M., Nagpal, S., Singh, R., Vatsa, M.,
Triplet Transform Learning for Automated Primate Face Recognition,
ICIP19(3462-3466)
IEEE DOI 1910
Animal Biometrics, Transform Learning, Triplet Loss, Primate Face Recognition BibRef

Matkowski, W.M., Kong, A.W.K., Su, H., Chen, P., Hou, R., Zhang, Z.,
Giant Panda Face Recognition Using Small Dataset,
ICIP19(1680-1684)
IEEE DOI 1910
biometrics, face recognition, giant panda, individual identification BibRef

Yoshida, K.[Kumiko], Kawasue, K.[Kikuhito],
Robust 3D Pig Measurement in Pig Farm,
3D-Wild18(I:387-400).
Springer DOI 1905
BibRef

Popova, A.[Anastasia], Eerola, T.[Tuomas], Kälviäinen, H.[Heikki],
Comparison of Co-segmentation Methods for Wildlife Photo-identification,
ACIVS18(139-149).
Springer DOI 1810
BibRef

Zhu, C., Li, T.H., Li, G.,
Towards Automatic Wild Animal Detection in Low Quality Camera-Trap Images Using Two-Channeled Perceiving Residual Pyramid Networks,
Wildlife17(2860-2864)
IEEE DOI 1802
Cameras, Feature extraction, Image segmentation, Training, Wildlife BibRef

Weideman, H.J., Jablons, Z.M., Holmberg, J., Flynn, K., Calambokidis, J., Tyson, R.B., Allen, J.B., Wells, R.S., Hupman, K., Urian, K., Stewart, C.V.,
Integral Curvature Representation and Matching Algorithms for Identification of Dolphins and Whales,
Wildlife17(2831-2839)
IEEE DOI 1802
Dolphins, Image edge detection, Indexing, Robustness, Shape, Whales BibRef

Brust, C.A., Burghardt, T., Groenenberg, M., Kading, C., Kühl, H.S., Manguette, M.L., Denzler, J.,
Towards Automated Visual Monitoring of Individual Gorillas in the Wild,
Wildlife17(2820-2830)
IEEE DOI 1802
Biodiversity, Biological system modeling, Cameras, Monitoring, Sociology, Statistics BibRef

Gomez, A.[Alexander], Diez, G.[German], Salazar, A.[Augusto], Diaz, A.[Angelica],
Animal Identification in Low Quality Camera-Trap Images Using Very Deep Convolutional Neural Networks and Confidence Thresholds,
ISVC16(I: 747-756).
Springer DOI 1701
BibRef

Du, S.Z.[Sheng-Zhi], Du, C.L.[Chun-Ling], Abdoola, R.[Rishaad], van Wyk, B.J.[Barend Jacobus],
A Gaussian Mixture Model Feature for Wildlife Detection,
ISVC16(I: 757-765).
Springer DOI 1701
BibRef

Freytag, A.[Alexander], Rodner, E.[Erik], Simon, M.[Marcel], Loos, A.[Alexander], Kühl, H.S.[Hjalmar S.], Denzler, J.[Joachim],
Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates,
GCPR16(51-63).
Springer DOI 1611
BibRef

Zhang, H.P.[Hong-Ping], Jiang, J.[Jie], Wei, D.[Dong], Jiang, J.[Jie],
A Wildlife Monitoring System Based On Tianditu And Beidou: In Case Of The Tibetan Antelope,
ISPRS16(B4: 259-262).
DOI Link 1610
BibRef

Parham, J., Stewart, C.,
Detecting plains and Grevy's Zebras in the realworld,
AAVWS16(1-9)
IEEE DOI 1606
Hough transforms BibRef

Linchant, J., Lhoest, S., Quevauvillers, S., Semeki, J., Lejeune, P., Vermeulen, C.,
WIMUAS: Developing a Tool to Review Wildlife Data from Various UAS Flight Plans,
GeoUAV15(379-384).
DOI Link 1602
BibRef

Lhoest, S., Linchant, J., Quevauvillers, S., Vermeulen, C., Lejeune, P.,
How Many Hippos (HOMHIP): Algorithm for Automatic Counts of Animals with Infra-Red Thermal Imagery From UAV,
GeoUAV15(355-362).
DOI Link 1602
BibRef

Chrétien, L.P., Théau, J., Ménard, P.,
Wildlife Multispecies Remote Sensing Using Visible and Thermal Infrared Imagery Acquired from an Unmanned Aerial Vehicle (UAV),
UAV-g15(241-248).
DOI Link 1512
BibRef

Zmarz, A., Korczak-Abshire, M., Storvold, R., Rodzewicz, M., Kedzierska, I.,
Indicator Species Population Monitoring in Antarctica with UAV,
UAV-g15(189-193).
DOI Link 1512
BibRef

Figueroa, K.[Karina], Camarena-Ibarrola, A.[Antonio], García, J.[Jonathan], Villela, H.T.[Héctor Tejeda],
Fast Automatic Detection of Wildlife in Images from Trap Cameras,
CIARP14(940-947).
Springer DOI 1411
BibRef

Lahiri, M.[Mayank], Tantipathananandh, C.[Chayant], Warungu, R.[Rosemary], Rubenstein, D.I.[Daniel I.], Berger-Wolf, T.Y.[Tanya Y.],
Biometric animal databases from field photographs: Identification of individual zebra in the wild,
ICMR11(6).
DOI Link 1301
a database of noisy photographs taken in the wild BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Agriculture, Inspection -- Meat .


Last update:Nov 30, 2021 at 22:19:38