17.1.3.5.18 Tracking Animals, Animal Gait, Animal Behaviors

Jewell, Z.[Zoe], and Alibhai, S.[Sky],
Identifying endangered species from footprints,
SPIE(Newsroom), January 4, 2013.
DOI Link 1301
A technique that analyzes images of animal footprints provides reliable data on endangered wildlife populations and individuals. BibRef

Haase, D.[Daniel], Denzler, J.[Joachim],
2D and 3D analysis of animal locomotion from biplanar X-ray videos using augmented active appearance models,
JIVP(2013), No. 1, 2013, pp. xx-yy.
DOI Link 1309
BibRef

Fablet, R., Chaigneau, A., Bertrand, S.,
Multiscale Analysis of Geometric Planar Deformations: Application to Wild Animal Electronic Tracking and Satellite Ocean Observation Data,
GeoRS(52), No. 6, June 2014, pp. 3627-3636.
IEEE DOI 1403
Geometry BibRef

Luo, Q.S.[Qing-Sheng], Gao, J.F.[Jian-Feng], Zhou, C.Y.[Chen-Yang], Huang, Y.S.[Yan-Song],
The structural design, simulation analysis and parameter optimisation of the cheetah robot's leg components,
IJCVR(5), No. 1, 2015, pp. 23-36.
DOI Link 1502
BibRef

Farah, R.[Rana], Langlois, J.M.P.[J.M. Pierre], Bilodeau, G.A.[Guillaume-Alexandre],
Computing a rodent's diary,
SIViP(10), No. 3, March 2016, pp. 567-574.
Springer DOI 1602
BibRef

Behmann, J.[Jan], Hendriksen, K.[Kathrin], Müller, U.[Ute], Büscher, W.[Wolfgang], Plümer, L.[Lutz],
Support Vector machine and duration-aware conditional random field for identification of spatio-temporal activity patterns by combined indoor positioning and heart rate sensors,
GeoInfo(20), No. 4, October 2016, pp. 693-714.
Springer DOI 1610
Tracking cattle. BibRef

Crispim-Junior, C.F.[Carlos Fernando], de Azevedo, F.M.[Fernando Mendes], Marino-Neto, J.[José],
What is my rat doing? Behavior understanding of laboratory animals,
PRL(94), No. 1, 2017, pp. 134-143.
Elsevier DOI 1708
Feature, selection BibRef

Ardö, H.[Hakan], Guzhva, O.[Oleksiy], Nilsson, M.[Mikael], Herlin, A.H.[Anders H.],
Convolutional neural network-based cow interaction watchdog,
IET-CV(12), No. 2, March 2018, pp. 171-177.
DOI Link 1804
BibRef

Mittek, M.[Mateusz], Psota, E.T.[Eric T.], Carlson, J.D.[Jay D.], Pérez, L.C.[Lance C.], Schmidt, T.[Ty], Mote, B.[Benny],
Tracking of group-housed pigs using multi-ellipsoid expectation maximisation,
IET-CV(12), No. 2, March 2018, pp. 121-128.
DOI Link 1804
BibRef

Guo, X.J.[Xing-Jian], Shao, Q.Q.[Quan-Qin], Li, Y.Z.[Yu-Zhe], Wang, Y.C.[Yang-Chun], Wang, D.L.[Dong-Liang], Liu, J.Y.[Ji-Yuan], Fan, J.W.[Jiang-Wen], Yang, F.[Fan],
Application of UAV Remote Sensing for a Population Census of Large Wild Herbivores: Taking the Headwater Region of the Yellow River as an Example,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Al-Zoubi, A., Al-Diri, B., Pike, T., Kleinhappel, T., Dickinson, P.,
Pair-Activity Analysis From Video Using Qualitative Trajectory Calculus,
CirSysVideo(28), No. 8, August 2018, pp. 1850-1863.
IEEE DOI 1808
Trajectory, Calculus, Cognition, Robustness, Measurement, Histograms, Animal behavior, Pair-activity analysis, sequence alignment BibRef

Halls, J.N.[Joanne N.], Randall, A.L.[Alyssa L.],
Nesting Patterns of Loggerhead Sea Turtles (Caretta caretta): Development of a Multiple Regression Model Tested in North Carolina, USA,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Choi, C.Q.,
Machine vision to curb pig pugnacity: 3D cameras can help predict when pigs are about to nip each other's tails,
Spectrum(55), No. 10, October 2018, pp. 10-11.
IEEE DOI 1810
[Synchrophasors could sense a power line break before gravity pulls the loose ends to the ground] Cameras, Animals, Monitoring BibRef

Wang, H., Wang, L.,
Cross-Agent Action Recognition,
CirSysVideo(28), No. 10, October 2018, pp. 2908-2919.
IEEE DOI 1811
Animals, Training data, Videos, Feature extraction, Target recognition, Encoding, Cross-agent, animal action recognition BibRef

Salem, G.[Ghadi], Krynitsky, J.[Jonathan], Hayes, M.[Monson], Pohida, T.[Thomas], Burgos-Artizzu, X.[Xavier],
Three-Dimensional Pose Estimation for Laboratory Mouse From Monocular Images,
IP(28), No. 9, Sep. 2019, pp. 4273-4287.
IEEE DOI 1908
BibRef
Earlier: A1, A2, A4, A3, A5:
Three dimensional pose estimation of mouse from monocular images in compact systems,
ICPR16(1750-1755)
IEEE DOI 1705
biology computing, computerised monitoring, lenses, pose estimation, video signal processing, mice activity, mouse behavior detection. Mice, Pose estimation, Predictive models, Standards, Training, Vegetation BibRef

Robb, B.[Benjamin], Huang, Q.Y.[Qiong-Yu], Sexton, J.O.[Joseph O.], Stoner, D.[David], Leimgruber, P.[Peter],
Environmental Differences between Migratory and Resident Ungulates: Predicting Movement Strategies in Rocky Mountain Mule Deer (Odocoileus hemionus) with Remotely Sensed Plant Phenology, Snow, and Land Cover,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Schooler, S.L.[Sarah L.], Zald, H.S.J.[Harold S. J.],
Lidar Prediction of Small Mammal Diversity in Wisconsin, USA,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Guo, J.[Jifa], Du, S.H.[Shi-Hong], Ma, Z.X.[Zhen-Xing], Huo, H.Y.[Hong-Yuan], Peng, G.X.[Guang-Xiong],
A Model for Animal Home Range Estimation Based on the Active Learning Method,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Kitratporn, N.[Nuntikorn], Takeuchi, W.[Wataru],
Spatiotemporal Distribution of Human-Elephant Conflict in Eastern Thailand: A Model-Based Assessment Using News Reports and Remotely Sensed Data,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Altulea, A.H.[Abdullah H.], Jalab, H.A.[Hamid A.], Ibrahim, R.W.[Rabha W.],
Fractional Hölder mean-based image segmentation for mouse behavior analysis in conditional place preference test,
SIViP(14), No. 1, February 2020, pp. 135-142.
WWW Link. 2001
BibRef

Cabrera-Cruz, S.A.[Sergio A.], Cohen, E.B.[Emily B.], Smolinsky, J.A.[Jaclyn A.], Buler, J.J.[Jeffrey J.],
Artificial Light at Night is Related to Broad-Scale Stopover Distributions of Nocturnally Migrating Landbirds along the Yucatan Peninsula, Mexico,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Mingozzi, M.[Matteo], Salvioli, F.[Francesca], Serafino, F.[Francesco],
X-Band Radar for Cetacean Detection (Focus on Tursiops truncatus) and Preliminary Analysis of Their Behavior,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Stepanian, P.M.[Phillip M.], Wainwright, C.E.[Charlotte E.],
Coupling Atmospheric and Biological Remote Sensing to Investigate Boundary-Layer Evolution and Animal Flight Behavior as Affected by the 2017 North American Solar Eclipse,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Giefer, M.[Madeline], An, L.[Li],
Synthesizing Remote Sensing and Biophysical Measures to Evaluate Human-wildlife Conflicts: The Case of Wild Boar Crop Raiding in Rural China,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Barwick, J.[Jamie], Lamb, D.W.[David William], Dobos, R.[Robin], Welch, M.[Mitchell], Schneider, D.[Derek], Trotter, M.[Mark],
Identifying Sheep Activity from Tri-Axial Acceleration Signals Using a Moving Window Classification Model,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Guo, Y.H.[Yan-Hui], Rothfus, T.A.[Thomas A.], Ashour, A.S.[Amira S.], Si, L.[Lei], Du, C.L.[Chun-Lai], Ting, T.F.[Tih-Fen],
Varied channels region proposal and classification network for wildlife image classification under complex environment,
IET-IPR(14), No. 4, 27 March 2020, pp. 585-591.
DOI Link 2003
BibRef

Zhang, T.[Teng], Liu, L.C.[Liang-Chen], Zhao, K.[Kun], Wiliem, A.[Arnold], Hemson, G.[Graham], Lovell, B.[Brian],
Omni-supervised joint detection and pose estimation for wild animals,
PRL(132), 2020, pp. 84-90.
Elsevier DOI 2005
Semi-supervised, Object detection, Animal BibRef

Lema, D.G.[Darío G.], Pedrayes, O.D.[Oscar D.], Usamentiaga, R.[Rubén], García, D.F.[Daniel F.], Alonso, Á.[Ángela],
Cost-Performance Evaluation of a Recognition Service of Livestock Activity Using Aerial Images,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Yaney-Keller, A.[Adam], Martin, R.S.[Ricardo San], Reina, R.D.[Richard D.],
Comparison of UAV and Boat Surveys for Detecting Changes in Breeding Population Dynamics of Sea Turtles,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Cepelka, L.[Ladislav], Jánová, E.[Eva], Suchomel, J.[Josef], Heroldová, M.[Marta],
Use of NIRS in Wild Rodents' Research: A Review of Timid Beginnings,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Crego, R.D.[Ramiro D.], Masolele, M.M.[Majaliwa M.], Connette, G.[Grant], Stabach, J.A.[Jared A.],
Enhancing Animal Movement Analyses: Spatiotemporal Matching of Animal Positions with Remotely Sensed Data Using Google Earth Engine and R,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Shang, C.[Cheng], Wu, F.[Feng], Wang, M.[MeiLi], Gao, Q.[Qiang],
Cattle behavior recognition based on feature fusion under a dual attention mechanism,
JVCIR(85), 2022, pp. 103524.
Elsevier DOI 2205
Dual attention mechanism, Feature fusion, Behavior recognition, Smart animal husbandry BibRef

Zhou, F.X.[Fei-Xiang], Jiang, Z.H.[Zhe-Heng], Liu, Z.H.[Zhi-Hua], Chen, F.[Fang], Chen, L.[Long], Tong, L.[Lei], Yang, Z.[Zhile], Wang, H.K.[Hai-Kuan], Fei, M.[Minrui], Li, L.[Ling], Zhou, H.Y.[Hui-Yu],
Structured Context Enhancement Network for Mouse Pose Estimation,
CirSysVideo(32), No. 5, May 2022, pp. 2787-2801.
IEEE DOI 2205
Mice, Pose estimation, Context modeling, Standards, Diseases, Graphical models, Mixers, Pose estimation, graphical model, mouse behaviour dataset BibRef

Jiang, L.[Le], Lee, C.[Caleb], Teotia, D.[Divyang], Ostadabbas, S.[Sarah],
Animal pose estimation: A closer look at the state-of-the-art, existing gaps and opportunities,
CVIU(222), 2022, pp. 103483.
Elsevier DOI 2209
Animal pose estimation, Comparative analysis, 3D mesh reconstruction, Convolutional neural networks, Animal behavior BibRef

McIntosh, D.[Declan], Marques, T.P.[Tunai Porto], Albu, A.B.[Alexandra Branzan], Rountree, R.[Rodney], de Leo, F.[Fabio],
TempNet: Temporal Attention Towards the Detection of Animal Behaviour in Videos,
ICPR22(3318-3324)
IEEE DOI 2212
Computational modeling, Biological system modeling, Pipelines, Real-time systems BibRef

Patel, M.[Mahir], Gu, Y.W.[Yi-Wen], Carstensen, L.C.[Lucas C.], Hasselmo, M.E.[Michael E.], Betke, M.[Margrit],
Animal Pose Tracking: 3D Multimodal Dataset and Token-based Pose Optimization,
IJCV(131), No. 2, February 2023, pp. 514-530.
Springer DOI 2301
BibRef

Zhang, L.[Libo], Gao, J.Y.[Jun-Yuan], Xiao, Z.[Zhen], Fan, H.[Heng],
AnimalTrack: A Benchmark for Multi-Animal Tracking in the Wild,
IJCV(131), No. 2, February 2023, pp. 496-513.
Springer DOI 2301
BibRef

Broomé, S.[Sofia], Feighelstein, M.[Marcelo], Zamansky, A.[Anna], Lencioni, G.C.[Gabriel Carreira], Andersen, P.H.[Pia Haubro], Pessanha, F.[Francisca], Mahmoud, M.[Marwa], Kjellström, H.[Hedvig], Salah, A.A.[Albert Ali],
Going Deeper than Tracking: A Survey of Computer-Vision Based Recognition of Animal Pain and Emotions,
IJCV(131), No. 2, February 2023, pp. 572-590.
Springer DOI 2301
BibRef

Luo, W.[Wei], Li, X.F.[Xiao-Fang], Zhang, G.Q.[Guo-Qing], Shao, Q.Q.[Quan-Qin], Zhao, Y.X.[Yong-Xiang], Li, D.H.[Deng-Hua], Zhao, Y.F.[Yun-Feng], Li, X.Q.[Xu-Qing], Zhao, Z.H.[Zi-Hui], Liu, Y.Y.[Yu-Yan], Li, X.L.[Xiao-Liang],
High-Accuracy and Low-Latency Tracker for UAVs Monitoring Tibetan Antelopes,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Wang, F.S.[Fa-Sheng], Cao, P.[Ping], Li, F.[Fu], Wang, X.[Xing], He, B.[Bing], Sun, F.M.[Fu-Ming],
WATB: Wild Animal Tracking Benchmark,
IJCV(131), No. 1, January 2023, pp. 899-917.
Springer DOI 2303
BibRef

Wang, L.[Le], Li, Q.[Qing], Zhou, S.P.[San-Ping], Zheng, N.N.[Nan-Ning],
Multi-Panda Tracking,
MultMed(25), 2023, pp. 706-720.
IEEE DOI 2303
Feature extraction, Target tracking, Visualization, Filtering, Task analysis, Switches, Predictive models, Fine-grained feature, tracking-by-detection BibRef

Li, T.Q.[Tian-Qing], Severson, K.S.[Kyle S.], Wang, F.[Fan], Dunn, T.W.[Timothy W.],
Improved 3D Markerless Mouse Pose Estimation Using Temporal Semi-supervision,
IJCV(131), No. 6, June 2023, pp. 1389-1405.
Springer DOI 2305
BibRef

Meng, K.[Kexin], Yang, S.[Shanjie], Cattani, P.[Piercarlo], Gao, S.[Shijiao], Mei, S.[Shuli],
Multifractal characterization and recognition of animal behavior based on deep wavelet transform,
PRL(180), 2024, pp. 90-98.
Elsevier DOI 2404
Deep wavelet transform, Multifractal features, Behavioral data recognition, Fluctuation analysis BibRef

Shooter, M.[Moira], Malleson, C.[Charles], Hilton, A.[Adrian],
SyDog-Video: A Synthetic Dog Video Dataset for Temporal Pose Estimation,
IJCV(132), No. 6, June 2024, pp. 1986-2002.
Springer DOI 2406
BibRef

Kwon, J.[Jea], Kim, S.[Sunpil], Joo, J.[Jinhyeong], Kim, S.[SoHyung], Cha, M.[Meeyoung], Lee, C.J.[C. Justin],
SUBTLE: An Unsupervised Platform with Temporal Link Embedding that Maps Animal Behavior,
IJCV(132), No. 10, October 2024, pp. 4589-4615.
Springer DOI 2410
BibRef

Waldmann, U.[Urs], Chan, A.H.H.[Alex Hoi Hang], Naik, H.[Hemal], Nagy, M.[Máté], Couzin, I.D.[Iain D.], Deussen, O.[Oliver], Kano, B.G.F.[Bastian Goldluecke Fumihiro],
3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking,
IJCV(132), No. 10, October 2024, pp. 4235-4252.
Springer DOI 2410
BibRef

Happ, C.[Christof], Sutor, A.[Alexander], Hochradel, K.[Klaus],
UAV-Based 3D-Calibration of Thermal Cameras for Bat Flight Monitoring in Large Outdoor Environments,
RS(16), No. 24, 2024, pp. 4682.
DOI Link 2501
BibRef

Sun, K.Q.[Ke-Qiang], Litvak, D.[Dor], Zhang, Y.Z.[Yun-Zhi], Li, H.S.[Hong-Sheng], Wu, J.J.[Jia-Jun], Wu, S.Z.[Shang-Zhe],
Ponymation: Learning Articulated 3d Animal Motions from Unlabeled Online Videos,
ECCV24(I: 100-119).
Springer DOI 2412
BibRef

Li, C.[Ci], Yang, Y.[Yi], Weng, Z.H.[Ze-Hang], Hernlund, E.[Elin], Zuffi, S.[Silvia], Kjellström, H.[Hedvig],
Dessie: Disentanglement for Articulated 3d Horse Shape and Pose Estimation from Images,
ACCV24(X: 268-288).
Springer DOI 2412
BibRef

Zuffi, S.[Silvia], Mellbin, Y.[Ylva], Li, C.[Ci], Hoeschle, M.[Markus], Kjellstrom, H.[Hedvig], Polikovsky, S.[Senya], Hernlund, E.[Elin], Black, M.J.[Michael J.],
VAREN: Very Accurate and Realistic Equine Network,
CVPR24(5374-5383)
IEEE DOI Code:
WWW Link. 2410
Deformable models, Solid modeling, Analytical models, Visualization, Shape, Deformation, 3D shape, articulated 3D model, 3D pose BibRef

Yang, Z.[Zhangsihao], Zhou, M.Y.[Ming-Yuan], Shan, M.[Mengyi], Wen, B.B.[Bing-Bing], Xuan, Z.W.[Zi-Wei], Hill, M.[Mitch], Bai, J.J.[Jun-Jie], Qi, G.J.[Guo-Jun], Wang, Y.L.[Ya-Lin],
OmniMotionGPT: Animal Motion Generation with Limited Data,
CVPR24(1249-1259)
IEEE DOI 2410
Training, Measurement, Animals, Computer architecture, Transformers, Encoding BibRef

Shooter, M.[Moira], Malleson, C.[Charles], Hilton, A.[Adrian],
DigiDogs: Single-View 3D Pose Estimation of Dogs Using Synthetic Training Data,
SmallData24(92-101)
IEEE DOI 2404
Training, Solid modeling, Video games, Statistical analysis, Pose estimation, Training data BibRef

Odo, A.[Anicetus], McLaughlin, N.[Niall], Kyriazakis, I.[Ilias],
Automated Monitoring of Ear Biting in Pigs by Tracking Individuals and Events,
WACV24(7080-7088)
IEEE DOI 2404
Target tracking, Animals, Ear, Object detection, Cameras, Robustness, Applications, Agriculture, Applications, Animals / Insects BibRef

Kholiavchenko, M.[Maksim], Kline, J.[Jenna], Ramirez, M.[Michelle], Stevens, S.[Sam], Sheets, A.[Alec], Babu, R.[Reshma], Banerji, N.[Namrata], Campolongo, E.[Elizabeth], Thompson, M.[Matthew], van Tiel, N.[Nina], Miliko, J.[Jackson], Bessa, E.[Eduardo], Duporge, I.[Isla], Berger-Wolf, T.[Tanya], Rubenstein, D.[Daniel], Stewart, C.[Charles],
KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos,
SmallData24(31-40)
IEEE DOI Code:
WWW Link. 2404
Training, Protocols, Image resolution, Animal behavior, Wildlife, Habitats BibRef

Straka, J.[Jakub], Hruz, M.[Marek], Picek, L.[Lukas],
The Hitchhiker's Guide to Endangered Species Pose Estimation,
SmallData24(41-50)
IEEE DOI Code:
WWW Link. 2404
Measurement, Training, Biological system modeling, Endangered species, Pose estimation, Cameras, Data models BibRef

Liu, Q.[Qing], Kortylewski, A.[Adam], Zhang, Z.S.[Zhi-Shuai], Li, Z.Z.[Zi-Zhang], Guo, M.Q.[Meng-Qi], Liu, Q.H.[Qi-Hao], Yuan, X.D.[Xiao-Ding], Mu, J.T.[Ji-Teng], Qiu, W.C.[Wei-Chao], Yuille, A.L.[Alan L.],
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles,
CVPR22(19118-19129)
IEEE DOI 2210
Deep learning, Image segmentation, Solid modeling, Adaptation models, Costs, Benchmark testing, Self- semi- meta- Transfer/low-shot/long-tail learning BibRef

Peng, J.W.[Jia-Wei], He, J.[Ju], Kaushik, P.[Prakhar], Xiao, Z.H.[Zi-Hao], Mu, J.T.[Ji-Teng], Yuille, A.L.[Alan L.],
Learning Part Segmentation from Synthetic Animals,
SmallData24(80-91)
IEEE DOI 2404
Solid modeling, Animals, Computational modeling, Semantic segmentation, Tail, Horses, Data models BibRef

Liu, D.[Dan], Hou, J.[Jin], Huang, S.L.[Shao-Li], Liu, J.[Jing], He, Y.X.[Yu-Xin], Zheng, B.[Bochuan], Ning, J.F.[Ji-Feng], Zhang, J.D.[Jin-Dong],
LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding,
ICCV23(20007-20018)
IEEE DOI Code:
WWW Link. 2401
BibRef

Sosa, J.[Jose], Perry, S.[Sharn], Alty, J.[Jane], Hogg, D.[David],
Of Mice and Pose: 2d Mouse Pose Estimation from Unlabelled Data and Synthetic Prior,
CVS23(125-136).
Springer DOI 2312
BibRef

Rüegg, N.[Nadine], Tripathi, S.[Shashank], Schindler, K.[Konrad], Black, M.J.[Michael J.], Zuffi, S.[Silvia],
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation,
CVPR23(8867-8876)
IEEE DOI 2309
BibRef

Xu, J.S.[Jing-Song], Wu, Q.[Qiang], Zhang, J.[Jian], Tait, A.[Amy],
Automatic Sheep Behaviour Analysis Using Mask R-CNN,
DICTA21(01-06)
IEEE DOI 2201
Image segmentation, Data analysis, Animals, Digital images, Resource management, Marine vehicles, Biomedical monitoring, animal welfare BibRef

Li, C.[Chen], Lee, G.H.[Gim Hee],
ScarceNet: Animal Pose Estimation with Scarce Annotations,
CVPR23(17174-17183)
IEEE DOI 2309
BibRef

Dai, X.W.[Xiao-Wei], Li, S.W.[Shui-Wang], Zhao, Q.J.[Qi-Jun], Yang, H.Y.[Hong-Yu],
Unsupervised 3D Animal Canonical Pose Estimation with Geometric Self-Supervision,
FG23(1-8)
IEEE DOI 2303
Training, Animals, Shape, Pose estimation, Self-supervised learning, Gesture recognition BibRef

Ng, X.L.[Xun Long], Ong, K.E.[Kian Eng], Zheng, Q.[Qichen], Ni, Y.[Yun], Yeo, S.Y.[Si Yong], Liu, J.[Jun],
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding,
CVPR22(19001-19012)
IEEE DOI 2210
Animals, Grounding, Animal behavior, Pose estimation, Wildlife, Video sequences, Collaboration, Action and event recognition, Video analysis and understanding BibRef

Menezes, R.[Richardson], de Miranda, A.[Aron], Maia, H.[Helton],
PyMiceTracking: An Open-Source Toolbox For Real-Time Behavioral Neuroscience Experiments,
CVPR22(21427-21433)
IEEE DOI 2210
Neuroscience, Shape, Tutorials, Real-time systems, Behavioral sciences, Recording BibRef

Aouayeb, S.[Souhaieb], Desquesnes, X.[Xavier], Emile, B.[Bruno], Mulot, B.[Baptiste], Treuillet, S.[Sylvie],
Intelligent Video Surveillance for Animal Behavior Monitoring,
LPLF22(361-371).
Springer DOI 2208
BibRef

Rashid, M.[Maheen], Broomé, S.[Sofia], Ask, K.[Katrina], Hernlund, E.[Elin], Andersen, P.H.[Pia Haubro], Kjellström, H.[Hedvig], Lee, Y.J.[Yong Jae],
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation,
WACV22(152-162)
IEEE DOI 2202
Visualization, Analytical models, Pain, Annotations, Surveillance, Computational modeling, Action and Behavior Recognition Vision for Animals BibRef

Bergamini, L., Pini, S., Simoni, A., Vezzani, R., Calderara, S., d'Eath, R.B., Fisher, R.B.,
Extracting Accurate Long-Term Behavior Changes from a Large Pig Dataset,
VISAPP21(xx-yy).
PDF File.
See also Indoor pig behavior RGBD video dataset. BibRef 2100

Hyodo, R.[Ryosuke], Nakano, T.[Teppei], Ogawa, T.[Tetsuji],
Feature Representation Learning for Calving Detection of Cows Using Video Frames,
ICPR21(4131-4136)
IEEE DOI 2105
Knowledge engineering, Surveillance, Neural networks, Decision making, Cows, Feature extraction, Data mining BibRef

Okimoto, Y.[Yusuke], Kawata, S.[Soshi], Saito, S.[Susumu], Nakano, T.[Teppei], Ogawa, T.[Tetsuji],
Crowdsourced Verification for Operating Calving Surveillance Systems at an Early Stage,
ICPR21(4356-4362)
IEEE DOI 2105
Crowdsourcing, Machine learning, Cows, Video surveillance, Reliability BibRef

Pessanha, F., McLennan, K., Mahmoud, M.,
Towards automatic monitoring of disease progression in sheep: A hierarchical model for sheep facial expressions analysis from video,
FG20(387-393)
IEEE DOI 2102
Pain, Feature extraction, Faces, Head, Annotations, Face recognition, Diseases BibRef

Kawano, Y.[Yuriko], Saito, S.[Susumu], Nakano, T.[Teppei], Kondo, I.[Ikumi], Yamazaki, R.[Ryota], Kusaka, H.[Hiromi], Sakaguchi, M.[Minoru], Ogawa, T.[Tetsuji],
Toward Building a Data-Driven System For Detecting Mounting Actions of Black Beef Cattle,
ICPR21(4458-4464)
IEEE DOI 2105
Crowdsourcing, Image recognition, Neural networks, Buildings, Training data, Systems architecture, Object detection BibRef

Ju, S., Erasmus, M.A., Reibman, A.R., Zhu, F.,
Video Tracking to Monitor Turkey Welfare,
SSIAI20(50-53)
IEEE DOI 2009
computerised monitoring, diseases, farming, feature extraction, object detection, object tracking, video signal processing, turkey welfare BibRef

Li, S., Günel, S., Ostrek, M., Ramdya, P., Fua, P., Rhodin, H.,
Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals,
CVPR20(13155-13165)
IEEE DOI 2008
Strain, Shape, Animals, Training, Pose estimation, Deformable models, Generators BibRef

Sanakoyeu, A., Khalidov, V., McCarthy, M.S., Vedaldi, A., Neverova, N.,
Transferring Dense Pose to Proximal Animal Classes,
CVPR20(5232-5241)
IEEE DOI 2008
Animals, Solid modeling, Adaptation models, Task analysis, Facebook BibRef

Broome, S.[Sofia], Gleerup, K.B.[Karina Bech], Andersen, P.H.[Pia Haubro], Kjellstrom, H.[Hedvig],
Dynamics Are Important for the Recognition of Equine Pain in Video,
CVPR19(12659-12668).
IEEE DOI 2002
BibRef

Adonias, A.F.[Ana F.], Ferreira-Gomes, J.[Joana], Alonso, R.[Raquel], Neto, F.[Fani], Cardoso, J.S.[Jaime S.],
Towards Automatic Rat's Gait Analysis Under Suboptimal Illumination Conditions,
IbPRIA19(II:247-259).
Springer DOI 1910
BibRef

Ehsani, K., Bagherinezhad, H., Redmon, J., Mottaghi, R., Farhadi, A.,
Who Let the Dogs Out? Modeling Dog Behavior from Visual Data,
CVPR18(4051-4060)
IEEE DOI 1812
Dogs, Visualization, Videos, Task analysis, Computational modeling, Cameras, Computer vision BibRef

Schneider, S., Taylor, G.W., Kremer, S.,
Deep Learning Object Detection Methods for Ecological Camera Trap Data,
CRV18(321-328)
IEEE DOI 1812
Cameras, Object detection, Animals, Task analysis, Sociology, Camera Trap, Object Detector, Transfer Learning, Ecology, Convolutional Neural Network BibRef

Zuffi, S., Kanazawa, A., Black, M.J.,
Lions and Tigers and Bears: Capturing Non-rigid, 3D, Articulated Shape from Images,
CVPR18(3955-3963)
IEEE DOI 1812
Animals, Shape, Solid modeling, Cameras, Biological system modeling, Deformable models BibRef

Ter-Sarkisov, A., Ross, R., Kelleher, J.,
Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis,
CRV17(277-284)
IEEE DOI 1804
agriculture, image segmentation, learning (artificial intelligence), object tracking, machine vision BibRef

Mittal, A.[Ankush], Dua, I.[Isha], Shukla, P.[Pushkar], Balasubramanian, R.[Raman],
A Computer Vision Framework for Detecting and Preventing Human-Elephant Collisions,
Wildlife17(2883-2890)
IEEE DOI 1802
Agriculture, Animals, Asia, Matrix converters, Roads, Tracking BibRef

Ahn, S.J.[Sung-Jin], Ko, D.M.[Dong-Min], Choi, K.S.[Kang-Sun],
Cow Behavior Recognition Using Motion History Image Feature,
ICIAR17(626-633).
Springer DOI 1706
BibRef

Jeya, L., Zelek, J.S.[John S.],
KinectScenes: Robust Real-Time RGB-D Fusion for Animal Behavioural Monitoring,
CRV16(383-390)
IEEE DOI 1612
3D reconstruction BibRef

Chiverton, J.[John], Micheletta, J.[Jerome], Waller, B.[Bridget],
Detecting and Tracking Bottoms and Faces of the Crested Black Macaque in the Wild,
MVAB15(xx-yy).
DOI Link 1601
BibRef

Cai, D.Q.[Dong-Qi], Su, F.[Fei], Zhao, Z.C.[Zhi-Cheng],
Adaptive Synopsis of Non-Human Primates' Surveillance Video Based on Behavior Classification,
MMMod16(I: 710-721).
Springer DOI 1601
BibRef

Zanotto, M., Sona, D., Murino, V., Papaleo, F.,
Dirichlet Process Mixtures of Multinomials for Data Mining in Mice Behaviour Analysis,
AccBio13(197-202)
IEEE DOI 1403
behavioural sciences computing BibRef

Deshmukh, O.[Om], Rajput, N.[Nitendra], Singh, Y.[Yajuvendra], Lathwal, S.[Surender],
Vocalization patterns of dairy animals to detect animal state,
ICPR12(254-257).
WWW Link. 1302
BibRef

Giancardo, L.[Luca], Sona, D.[Diego], Scheggia, D.[Diego], Papaleo, F.[Francesco], Murino, V.[Vittorio],
Segmentation and tracking of multiple interacting mice by temperature and shape information,
ICPR12(2520-2523).
WWW Link. 1302
BibRef

Janik, L.[Lukasz], Jedrasiak, K.[Karol], Wojciechowski, K.[Konrad], Polanski, A.[Andrzej],
Application of a Hybrid Algorithm for Non-humanoid Skeleton Model Estimation from Motion Capture Data,
ICCVG12(95-104).
Springer DOI 1210
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Reza, M.A.[M. Alimoor], Marker, J.[Jeffrey], Mhatre, S.[Siddhita], Saunders, A.[Aleister], Marenda, D.[Daniel], Breen, D.[David],
Video Analysis Algorithms for Automated Categorization of Fly Behaviors,
ISVC12(II: 229-241).
Springer DOI 1209
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Benke, K.K., Sheth, F., Betteridge, K., Pettit, C.J., Aurambout, J.P.,
A Geo-visual Analytics Approach To Biological Shepherding: Modelling Animal Movements And Impacts,
AnnalsPRS(I-2), No. 2012, pp. 117-122.
DOI Link 1209
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Fan, J.[Jialue], Jiang, N.[Nan], Wu, Y.[Ying],
Automatic video-based analysis of animal behaviors,
ICIP10(1513-1516).
IEEE DOI 1009

See also Learning Adaptive Metric for Robust Visual Tracking. BibRef

Huang, D.[Dong], Meyers, K.[Kelly], Henry, S.[Severine], de la Torre, F.[Fernando], Horn, C.C.[Charles C.],
Non-rigid tracking of musk shrews in video for detection of emetic episodes,
MLVMA11(17-23).
IEEE DOI 1106
BibRef

Haase, D.[Daniel], Nyakatura, J.A.[John A.], Denzler, J.[Joachim],
Multi-view Active Appearance Models for the X-Ray Based Analysis of Avian Bipedal Locomotion,
DAGM11(11-20).
Springer DOI 1109
BibRef

Haase, D.[Daniel], Denzler, J.[Joachim],
Anatomical Landmark Tracking for the Analysis of Animal Locomotion in X-ray Videos Using Active Appearance Models,
SCIA11(604-615).
Springer DOI 1105
BibRef

de Andrade Silva, J.[Jonathan], Gonçalves, W.N.[Wesley Nunes], Machado, B.B.[Bruno Brandoli], Pistori, H.[Hemerson], Schiaveto de Souza, A.[Albert], Padovani de Souza, K.[Kleber],
Comparison of Shape Descriptors for Mice Behavior Recognition,
CIARP10(370-377).
Springer DOI 1011
BibRef

Ribeiro, C.[Cristina], Ferworn, A.[Alexander], Denko, M.[Mieso], Tran, J.[James],
Canine Pose Estimation: A Computing for Public Safety Solution,
CRV09(37-44).
IEEE DOI 0905
BibRef

Torabi, A.[Atousa], Bilodeau, G.A.[Guillaume-Alexandre], Levesque, M.[Maxime], Langlois, J.M.P.[J. M. Pierre], Lema, P.[Pablo], Carmant, L.[Lionel],
Measuring an Animal Body Temperature in Thermographic Video Using Particle Filter Tracking,
ISVC08(I: 1081-1091).
Springer DOI 0812
BibRef

Crook, P.A., Lukins, T.C., Heward, J., Armstrong, J.D.,
Identifying semi-Invariant Features on Mouse Contours,
BMVC08(xx-yy).
PDF File. 0809
For tracking. BibRef

Kembhavi, A.[Aniruddha], Farrell, R.[Ryan], Luo, Y.C.[Yuan-Cheng], Jacobs, D.W.[David W.], Duraiswami, R.[Ramani], Davis, L.S.[Larry S.],
Tracking Down Under: Following the Satin Bowerbird,
WACV08(1-7).
IEEE DOI 0801
BibRef

Zurn, J.B.[Jane Brooks], Hohmann, D.[Drew], Dworkin, S.I.[Steven I.], Motai, Y.[Yuichi],
A Real-Time Rodent Tracking System for Both Light and Dark Cycle Behavior Analysis,
WACV05(I: 87-92).
IEEE DOI 0502
BibRef

Hannuna, S.L., Campbell, N.W., Gibson, D.P.,
Identifying Quadruped Gait in Wildlife Video,
ICIP05(I: 713-716).
IEEE DOI 0512
BibRef

González Velasco, H.M.[Horacio M.], García Orellana, C.J.[Carlos J.], Macías Macías, M.[Miguel], Gallardo Caballero, R.[Ramón], Acevedo Sotoca, M.I.[M. Isabel],
Application of Repeated GA to Deformable Template Matching in Cattle Images,
AMDO04(134-145).
Springer DOI 0505
BibRef

Perner, P.[Petra],
Motion Tracking of Animals for Behavior Analysis,
VF01(779 ff.).
Springer DOI 0209
BibRef

Zelek, J.S.[John S.], Bullock, D.[Dave],
Real-time Automated Concurrent Visual Tracking of Many Animals and Subsequent Behavioral Compilation,
ICCV01(II: 751).
IEEE DOI 0106
BibRef
And:
Bayesian Tracking with Optical Flow Initialization and Re-initialization,
CVPR01(Demos 21-22). 0110
BibRef

Tsutsumi, D., Kita, Y.,
Motion tracking of cattle with a constrained deformable model,
ICPR02(I: 372-376).
IEEE DOI 0211
BibRef

Kong, C., Calway, A.D., Mirmehdi, M.,
Recognizing Animals Using Motion Parts,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Gibson, D.P., Campbell, N.W., Thomas, B.T.,
Quadruped gait analysis using sparse motion information,
ICIP03(III: 333-336).
IEEE DOI 0312
BibRef

Tweed, D.S., Calway, A.D.,
Tracking multiple animals in wildlife footage,
ICPR02(II: 24-27).
IEEE DOI 0211
BibRef
And:
Tracking Many Objects Using Subordinated Condensation,
BMVC02(Poster Session). 0208
BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Walking, Gait Recognition, Gait Analysis .

Last update:Jan 15, 2025 at 14:36:47