17.1.3.4.18 Tracking Animals, Animal Gait, Animal Behaviors

Chapter Contents (Back)
Motion, Human. Tracking. Animals. Animal Tracking.

MoCA: Moving Camouflaged Animals dataset,
Online2020.
WWW Link. Dataset, Animals.
See also Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation. BibRef 2000

Indoor pig behavior RGBD video dataset,
Online2021.
WWW Link. Dataset, Animals. There are approximately 3.5 million data frames in 1905 clips, each 5 minutes long, for a total of about 160 hours of video.
See also Extracting Accurate Long-Term Behavior Changes from a Large Pig Dataset. BibRef 2100

McFarlane, N.J.B., Schofield, C.P.,
Segmentation and Tracking of Piglets in Images,
MVA(8), No. 3, 1995, pp. 187-193. BibRef 9500

Haering, N.C.[Niels C.], Qian, R.J.[Richard J.], Sezan, M.I.[M. Ibrahim],
A Semantic Event-Detection Approach and Its Application to Detecting Hunts in Wildlife Video,
CirSysVideo(10), No. 6, September 2000, pp. 857-868.
IEEE Top Reference. 0010
BibRef
Earlier: A2, A1, A3:
A Computational Approach to Semantic Event Detection,
CVPR99(I: 200-206).
IEEE DOI BibRef

Choe, T.E.[Tae Eun], Lee, M.W.[Mun Wai], Guo, F.[Feng], Taylor, G.R.[Geoffrey R.], Yu, L.[Li], Haering, N.C.[Niels C.],
Semantic video event search for surveillance video,
VS11(1963-1970).
IEEE DOI 1201
BibRef

Qian, R.J.[Richard J.], Haering, N.C.[Niels C.], Sezan, M.I.[M. Ibrahim],
A Computational Approach to Semantic Event Detection in Video,
AIPU02(199-236). 0905
BibRef

Qian, R.J.[Richard J.], Haering, N.C.[Niels C.],
Method for automatic extraction of semantically significant events from video,
US_Patent6,721,454, Apr 13, 2004
WWW Link. BibRef 0404

Tovinkere, V.R.[Vasanth R.], Epshteyn, E.[Eugene], Qian, R.J.[Richard J.],
Method and system for detecting semantic events,
US_Patent6,678,635, Jan 13, 2004
WWW Link. BibRef 0401
And: US_Patent7,177,861, Feb 13, 2007
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And: US_Patent7,324,984, Jan 29, 2008
WWW Link. BibRef

Sumpter, N., Bulpitt, A.J.,
Learning Spatio-temporal Patterns for Predicting Object Behaviour,
IVC(18), No. 9, June 2000, pp. 697-704.
Elsevier DOI 0004
BibRef
Earlier: BMVC98(xx-yy). BibRef

Sumpter, N., Bulpitt, A.J., Vaughan, R., Tillett, R.D., Boyle, R.D.,
Learning Models of Animal Behaviour for a Robotic Sheepdog,
MVA98(xx-yy). BibRef 9800

Sumpter, N., Boyle, R.D., Tillett, R.D.,
Modelling Collective Animal Behaviour using Extended Point Distribution Models,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Krasny, D.P., Orin, D.E.,
Generating High-Speed Dynamic Running Gaits in a Quadruped Robot Using an Evolutionary Search,
SMC-B(34), No. 4, August 2004, pp. 1685-1696.
IEEE Abstract. 0409
BibRef

Ramanan, D.[Deva], Forsyth, D.A., Barnard, K.[Kobus],
Building Models of Animals from Video,
PAMI(28), No. 8, August 2006, pp. 1319-1334.
IEEE DOI 0606
BibRef
Earlier:
Detecting, Localizing and Recovering Kinematics of Textured Animals,
CVPR05(II: 635-642).
IEEE DOI 0507
BibRef

Ramanan, D.[Deva], Forsyth, D.A.,
Using temporal coherence to build models of animals,
ICCV03(338-345).
IEEE DOI 0311
Build model from video sequence. BibRef

Ramanan, D.[Deva], Forsyth, D.A.,
Finding and tracking people from the bottom up,
CVPR03(II: 467-474).
IEEE DOI 0307
BibRef

Burghardt, T., Calic, J.,
Analysing animal behaviour in wildlife videos using face detection and tracking,
VISP(153), No. 3, June 2006, pp. 305-312.
DOI Link 0608
BibRef

Nie, Y.M.[Yu-Man], Ishii, I.[Idaku], Yamamoto, K.[Kenkichi], Orito, K.[Kensuke], Matsuda, H.[Hiroshi],
Real-time scratching behavior quantification system for laboratory mice using high-speed vision,
RealTimeIP(4), No. 2, June 2009, pp. xx-yy.
Springer DOI 0905
BibRef

Avni, O.[Ofir], Baum, T.[Tomer], Katzir, G.[Gadi], Rivlin, E.[Ehud],
Recovery of 3D animal motions using cameras and mirrors,
MVA(21), No. 6, October 2010, pp. 879-888.
WWW Link. 1011
BibRef

Baum, T.[Tomer], Izhaki, I.[Idan], Rivlin, E.[Ehud], Katzir, G.[Gadi],
Active tracking and pursuit under different levels of occlusion: A two-layer approach,
MVA(25), No. 1, January 2014, pp. 173-184.
WWW Link. 1402
BibRef

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, Pattern recognition, 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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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.[Zihui], 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


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, Pattern recognition 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, Pattern recognition, 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], Raman, B.[Balasubramanian],
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
BibRef

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
BibRef

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
BibRef

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:Mar 16, 2024 at 20:36:19