15.1.2.1 Human Attention, Gaze, Eye Tracking

Chapter Contents (Back)
Attention. Gaze.
See also Gaze Tracking, Gaze Determination.
See also Eye, Gaze Computer Interface, Applied Gaze Tracking.

Nguyen, A.[Anthony], Chandran, V.[Vinod], Sridharan, S.[Sridha],
Gaze tracking for region of interest coding in JPEG 2000,
SP:IC(21), No. 5, June 2006, pp. 359-377.
Elsevier DOI 0606
BibRef
Earlier:
Visual attention based ROI maps from gaze tracking data,
ICIP04(V: 3495-3498).
IEEE DOI 0505
Image coding; Importance map; JPEG 2000; Region of interest BibRef

Smith, K.[Kevin], Ba, S.O.[Sileye O.], Odobez, J.M.[Jean-Marc], Gatica-Perez, D.[Daniel],
Tracking the Visual Focus of Attention for a Varying Number of Wandering People,
PAMI(30), No. 7, July 2008, pp. 1212-1229.
IEEE DOI 0806
BibRef

Sun, Y.[Yaoru], Fisher, R.B.[Robert B.],
Object-based visual attention for computer vision,
AI(146), No. 1, May 2003, pp. 77-123.
Elsevier DOI 0306
BibRef

Sun, Y.[Yaoru], Fisher, R.B.[Robert B.], Wang, F.[Fang], Gomes, H.M.[Herman Martins],
A computer vision model for visual-object-based attention and eye movements,
CVIU(112), No. 2, November 2008, pp. 126-142.
Elsevier DOI 0811
Visual-object-based competition; Space-based attention; Object-based attention; Group-based attention; Foveated imaging; Attention-driven eye movements BibRef

Marat, S.[Sophie], Phuoc, T.H.[Tien Ho], Granjon, L.[Lionel], Guyader, N.[Nathalie], Pellerin, D.[Denis], Guérin-Dugué, A.[Anne],
Modelling Spatio-Temporal Saliency to Predict Gaze Direction for Short Videos,
IJCV(82), No. 3, May 2009, pp. xx-yy.
Springer DOI 0903
Predict eyemovement in video viewing. I.e. what is salient to the viewer. BibRef

Le Meur, O., Chevet, J.C.,
Relevance of a Feed-Forward Model of Visual Attention for Goal-Oriented and Free-Viewing Tasks,
IP(19), No. 11, November 2010, pp. 2801-2813.
IEEE DOI 1011
Analysis of eye-tracking results. Attention. BibRef

Le Meur, O.[Olivier], Le Callet, P.[Patrick],
What we see is most likely to be what matters: Visual attention and applications,
ICIP09(3085-3088).
IEEE DOI 0911
BibRef

Li, Z.C.[Zhi-Cheng], Qin, S.Y.[Shi-Yin], Itti, L.[Laurent],
Visual attention guided bit allocation in video compression,
IVC(29), No. 1, January 2011, pp. 1-14.
Elsevier DOI 1011
Visual attention; Video compression; Eye-tracking; Video subjective quality BibRef

Garcia-Diaz, A.[Antón], Fdez-Vidal, X.R.[Xosé R.], Pardo, X.M.[Xosé M.], Dosil, R.[Raquel],
Saliency from hierarchical adaptation through decorrelation and variance normalization,
IVC(30), No. 1, January 2012, pp. 51-64.
Elsevier DOI 1202
Saliency; Bottom-up; Eye fixations; Decorrelation; Whitening; Visual attention BibRef

Bonev, B., Chuang, L.L., Escolano, F.,
How do image complexity, task demands and looking biases influence human gaze behavior?,
PRL(34), No. 7, 1 May 2013, pp. 723-730.
Elsevier DOI 1303
Perceptual search; Attention guidance in scenes; Image complexity BibRef

Kimura, A.[Akisato], Yonetani, R.[Ryo], Hirayama, T.[Takatsugu],
Computational Models of Human Visual Attention and Their Implementations: A Survey,
IEICE(E96-D), No. 3, March 2013, pp. 562-578.
WWW Link. 1303
Survey, Attention. BibRef

Rajashekar, U., van der Linde, I., Bovik, A.C., Cormack, L.K.,
GAFFE: A Gaze-Attentive Fixation Finding Engine,
IP(17), No. 4, April 2008, pp. 564-573.
IEEE DOI 0803
BibRef
Earlier:
Foveated Analysis and Selection of Visual Fixations in Natural Scenes,
ICIP06(453-456).
IEEE DOI 0610
BibRef
Earlier: A1, A3, A4, Only:
Image features that draw fixations,
ICIP03(III: 313-316).
IEEE DOI 0312
BibRef

Yucel, Z., Salah, A.A., Mericli, C., Mericli, T., Valenti, R., Gevers, T.,
Joint Attention by Gaze Interpolation and Saliency,
Cyber(43), No. 3, 2013, pp. 829-842.
IEEE DOI 1307
gaze direction interpolation; head pose; gaze following BibRef

Asteriadis, S.[Stylianos], Karpouzis, K.[Kostas], Kollias, S.[Stefanos],
Visual Focus of Attention in Non-calibrated Environments using Gaze Estimation,
IJCV(107), No. 3, May 2014, pp. 293-316.
Springer DOI 1404
BibRef
Earlier:
Robust validation of Visual Focus of Attention using adaptive fusion of head and eye gaze patterns,
HCI11(414-421).
IEEE DOI 1201
BibRef

Asteriadis, S.[Stylianos], Tzouveli, P.[Paraskevi], Karpouzis, K.[Kostas], Kollias, S.[Stefanos],
A non-intrusive method for user focus of attention estimation in front of a computer monitor,
FG08(1-2).
IEEE DOI 0809
BibRef

Apostolakis, K.C.[Konstantinos C.], Daras, P.[Petros],
A framework for implicit human-centered image tagging inspired by attributed affect,
VC(30), No. 10, October 2014, pp. 1093-1106.
Springer DOI 1410
Monitor user gaze in annotation work to find what is important. BibRef

Sun, X.S.[Xiao-Shuai], Yao, H.X.[Hong-Xun], Ji, R.R.[Rong-Rong], Liu, X.M.,
Toward Statistical Modeling of Saccadic Eye-Movement and Visual Saliency,
IP(23), No. 11, November 2014, pp. 4649-4662.
IEEE DOI 1410
Analytical models BibRef
Earlier: A1, A2, A3, Only:
What are we looking for: Towards statistical modeling of saccadic eye movements and visual saliency,
CVPR12(1552-1559).
IEEE DOI 1208
BibRef

He, X.[Xin], Samuelson, F.[Frank], Zeng, R.P.[Rong-Ping], Sahiner, B.[Berkman],
Discovering intrinsic properties of human observers' visual search and mathematical observers' scanning,
JOSA-A(31), No. 11, November 2014, pp. 2495-2510.
DOI Link 1411
Detection; Detection; Vision modeling ; Psychophysics BibRef

Amano, K.[Kinjiro], Foster, D.H.[David H.],
Influence of local scene color on fixation position in visual search,
JOSA-A(31), No. 4, April 2014, pp. A254-A262.
DOI Link 1404
Color vision; Detection; Vision-eye movements BibRef

Shen, C., Huang, X., Zhao, Q.,
Predicting Eye Fixations on Webpage With an Ensemble of Early Features and High-Level Representations from Deep Network,
MultMed(17), No. 11, November 2015, pp. 2084-2093.
IEEE DOI 1511
Computational modeling BibRef

Sheikhi, S.[Samira], Odobez, J.M.[Jean-Marc],
Combining dynamic head pose-gaze mapping with the robot conversational state for attention recognition in human-robot interactions,
PRL(66), No. 1, 2015, pp. 81-90.
Elsevier DOI 1511
Attention recognition BibRef

Kruthiventi, S.S.S., Ayush, K., Babu, R.V.,
DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations,
IP(26), No. 9, September 2017, pp. 4446-4456.
IEEE DOI 1708
computer vision, learning (artificial intelligence), neural nets, DeepFix, bottom-up mechanism, computer vision, fully convolutional neural network, hand-crafted features, human eye fixation prediction, human visual attention mechanism, location-biased convolutional layer, location-dependent pattern modelling, network layers, neuroscience, receptive fields, saliency data sets, saliency map, saliency prediction, Biological neural networks, Computational modeling, Convolution, Feature extraction, Predictive models, Semantics, Visualization, Saliency prediction, convolutional neural network, deep learning, eye, fixations BibRef

Wang, K.[Kang], Ji, Q.A.[Qi-Ang],
3D gaze estimation without explicit personal calibration,
PR(79), 2018, pp. 216-227.
Elsevier DOI 1804
Gaze estimation, Implicit calibration, Natural constraints, Human computer interaction BibRef

Chen, J.X.[Ji-Xu], Ji, Q.A.[Qi-Ang],
Probabilistic gaze estimation without active personal calibration,
CVPR11(609-616).
IEEE DOI 1106
BibRef
And:
3D gaze estimation with a single camera without IR illumination,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Maio, W.[William], Chen, J.X.[Ji-Xu], Ji, Q.A.[Qi-Ang],
Constraint-based gaze estimation without active calibration,
FG11(627-631).
IEEE DOI 1103
BibRef

Han, J., Zhang, D., Wen, S., Guo, L., Liu, T., Li, X.,
Two-Stage Learning to Predict Human Eye Fixations via SDAEs,
Cyber(46), No. 2, February 2016, pp. 487-498.
IEEE DOI 1601
Computational modeling BibRef

Cheon, M.[Manri], Lee, J.S.[Jong-Seok],
Temporal resolution vs. visual saliency in videos: Analysis of gaze patterns and evaluation of saliency models,
SP:IC(39, Part B), No. 1, 2015, pp. 405-417.
Elsevier DOI 1512
Temporal scalability BibRef

Zhang, J.M.[Jian-Ming], Sclaroff, S.[Stan],
Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach,
PAMI(38), No. 5, May 2016, pp. 889-902.
IEEE DOI 1604
BibRef
Earlier:
Saliency Detection: A Boolean Map Approach,
ICCV13(153-160)
IEEE DOI 1403
feature extraction. eye fixation; salient object detection; visual saliency BibRef

Le Meur, O., Coutrot, A., Liu, Z., Rämä, P., Le Roch, A., Helo, A.,
Visual Attention Saccadic Models Learn to Emulate Gaze Patterns From Childhood to Adulthood,
IP(26), No. 10, October 2017, pp. 4777-4789.
IEEE DOI 1708
gaze tracking, image sequences, age-dependent saccadic model, age-dependent scan paths, computer vision, gaze patterns, visual attention saccadic models, Adaptation models, Computational modeling, Dispersion, Hidden Markov models, Observers, Predictive models, Visualization, Saccadic model, BibRef

Qiu, W., Gao, X., Han, B.,
Eye Fixation Assisted Video Saliency Detection via Total Variation-Based Pairwise Interaction,
IP(27), No. 10, October 2018, pp. 4724-4739.
IEEE DOI 1808
eye, feature extraction, image colour analysis, image segmentation, image sequences, learning (artificial intelligence), pairwise interaction BibRef

Cornia, M., Baraldi, L., Serra, G., Cucchiara, R.,
Predicting Human Eye Fixations via an LSTM-Based Saliency Attentive Model,
IP(27), No. 10, October 2018, pp. 5142-5154.
IEEE DOI 1808
eye, Gaussian processes, neural nets, object detection, Gaussian functions, neural attentive mechanisms, saliency maps, deep learning BibRef

Xu, M., Ren, Y., Wang, Z., Liu, J., Tao, X.,
Saliency Detection in Face Videos: A Data-Driven Approach,
MultMed(20), No. 6, June 2018, pp. 1335-1349.
IEEE DOI 1805
Face, Feature extraction, Gaze tracking, Mouth, Object detection, Videos, Visualization, Face video, Gaussian mixture model, visual attention BibRef

Zhang, M.M.[Meng-Mi], Ma, K.T.[Keng Teck], Lim, J.H.[Joo Hwee], Zhao, Q.[Qi], Feng, J.[Jiashi],
Anticipating Where People will Look Using Adversarial Networks,
PAMI(41), No. 8, August 2019, pp. 1783-1796.
IEEE DOI 1907
BibRef
Earlier:
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks,
CVPR17(3539-3548)
IEEE DOI 1711
BibRef
Earlier: A1, A2, A3, A4, Only:
Foveated neural network: Gaze prediction on egocentric videos,
ICIP17(3720-3724)
IEEE DOI 1803
Task analysis, Predictive models, Streaming media, Generators, Visualization, Generative adversarial networks, Training, visual attention. Generators, Solid modeling, Training, Videos. Convolution, Feature extraction, Image resolution, Neural networks, Egocentric Videos, Fovea. BibRef

Xia, C., Han, J., Qi, F., Shi, G.,
Predicting Human Saccadic Scanpaths Based on Iterative Representation Learning,
IP(28), No. 7, July 2019, pp. 3502-3515.
IEEE DOI 1906
Bayes methods, biomechanics, eye, feature extraction, learning (artificial intelligence), object detection, representation learning BibRef

Sun, W.J.[Wan-Jie], Chen, Z.Z.[Zhen-Zhong], Wu, F.[Feng],
Visual Scanpath Prediction Using IOR-ROI Recurrent Mixture Density Network,
PAMI(43), No. 6, June 2021, pp. 2101-2118.
IEEE DOI 2106
Eye movements when scanning the visual field for acquiring and receiving visual information. Visualization, Predictive models, Computational modeling, Feature extraction, Hidden Markov models, Solid modeling, mixture density network BibRef

Zhang, L.M.[Lu-Ming], Liang, R.H.[Rong-Hua], Yin, J.W.[Jian-Wei], Zhang, D.X.[Dong-Xiang], Shao, L.[Ling],
Scene Categorization by Deeply Learning Gaze Behavior in a Semisupervised Context,
Cyber(51), No. 8, August 2021, pp. 4265-4276.
IEEE DOI 2108
Semantics, Feature extraction, Sparse matrices, Visualization, Training, Kernel, Image recognition, Deep model, machine learning, semisupervised BibRef


Ralekar, C.[Chetan], Gandhi, T.K.[Tapan Kumar], Chaudhury, S.[Santanu],
Collaborative Human Machine Attention Module for Character Recognition,
ICPR21(9874-9880)
IEEE DOI 2105
Use results of eye-tracking to choose where. Visualization, Analytical models, Computational modeling, Machine vision, Collaboration, eye-tracking BibRef

Sümer, Ö., Gerjets, P., Trautwein, U., Kasneci, E.,
Attention Flow: End-to-End Joint Attention Estimation,
WACV20(3316-3325)
IEEE DOI 2006
Estimation, Videos, Face, Task analysis, Visualization, Psychology BibRef

Berga, D., Vidal, X.R.F., Otazu, X., Pardo, X.M.,
SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling,
ICCV19(8788-8797)
IEEE DOI 2004
Dataset, Gaze Tracking. gaze tracking, learning (artificial intelligence), neural nets, SID4VAM, visual attention modeling, saliency metrics, Benchmark testing BibRef

Cordel, II, M.O.[Macario O.], Fan, S.J.[Shao-Jing], Shen, Z.[Zhiqi], Kankanhalli, M.S.[Mohan S.],
Emotion-Aware Human Attention Prediction,
CVPR19(4021-4030).
IEEE DOI 2002
BibRef

Chen, J., Li, Q., Wu, W., Ling, H., Wu, L., Zhang, B., Li, P.,
Saliency Detection via Topological Feature Modulated Deep Learning,
ICIP19(1630-1634)
IEEE DOI 1910
Topological feature, Convolutional neural network, Eye fixation, Saliency detection BibRef

Huang, Y.F.[Yi-Fei], Cai, M.J.[Min-Jie], Li, Z.Q.[Zhen-Qiang], Sato, Y.[Yoichi],
Predicting Gaze in Egocentric Video by Learning Task-Dependent Attention Transition,
ECCV18(II: 789-804).
Springer DOI 1810
BibRef

Zhang, R.[Ruohan], Liu, Z.[Zhuode], Zhang, L.[Luxin], Whritner, J.A.[Jake A.], Muller, K.S.[Karl S.], Hayhoe, M.M.[Mary M.], Ballard, D.H.[Dana H.],
AGIL: Learning Attention from Human for Visuomotor Tasks,
ECCV18(XI: 692-707).
Springer DOI 1810
Where is the person looking for robot learning a task from a person. BibRef

He, X.C.[Xuan-Chao], Liu, Z.J.[Zhe-Jun],
A Novel Way of Estimating a User's Focus of Attention in a Virtual Environment,
VAMR18(I: 71-81).
Springer DOI 1807
BibRef

Ngo, T., Manjunath, B.S.,
Saccade gaze prediction using a recurrent neural network,
ICIP17(3435-3439)
IEEE DOI 1803
Computational modeling, Feature extraction, Gaze tracking, Hidden Markov models, Logic gates, Training, Visualization, scanpath BibRef

Ren, Y., Wang, Z., Xu, M., Dong, H., Li, S.,
Learning Dynamic GMM for Attention Distribution on Single-Face Videos,
MotionRep17(1632-1641)
IEEE DOI 1709
Computer vision, Conferences, Databases, Face, Gaze tracking, Mouth, Pattern, recognition BibRef

Jensen, R.R.[Rasmus R.], Stets, J.D.[Jonathan D.], Suurmets, S.[Seidi], Clement, J.[Jesper], Aanæs, H.[Henrik],
Wearable Gaze Trackers: Mapping Visual Attention in 3D,
SCIA17(I: 66-76).
Springer DOI 1706
BibRef

Kruthiventi, S.S.S., Gudisa, V., Dholakiya, J.H., Babu, R.V.,
Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation,
CVPR16(5781-5790)
IEEE DOI 1612
BibRef

Volokitin, A., Gygli, M., Boix, X.,
Predicting When Saliency Maps are Accurate and Eye Fixations Consistent,
CVPR16(544-552)
IEEE DOI 1612
BibRef

Kübler, T.[Thomas], Fuhl, W.[Wolfgang], Rosenberg, R.[Raphael], Rosenstiel, W.[Wolfgang], Kasneci, E.[Enkelejda],
Novel Methods for Analysis and Visualization of Saccade Trajectories,
CVAA16(I: 783-797).
Springer DOI 1611
BibRef

Xu, M.[Mai], Ren, Y.[Yun], Wang, Z.[Zulin],
Learning to Predict Saliency on Face Images,
ICCV15(3907-3915)
IEEE DOI 1602
Face. Based on eye tracking data over face images. BibRef

Chi, H.Y.[Heng-Yu], Cheng, W.H.[Wen-Huang], You, C.W.[Chuang-Wen], Chen, M.S.[Ming-Syan],
What Catches Your Eyes as You Move Around? On the Discovery of Interesting Regions in the Street,
MMMod16(I: 767-779).
Springer DOI 1601
BibRef

Borji, A.[Ali], Tavakoli, H.R.[Hamed R.], Sihite, D.N.[Dicky N.], Itti, L.[Laurent],
Analysis of Scores, Datasets, and Models in Visual Saliency Prediction,
ICCV13(921-928)
IEEE DOI 1403
eye movements, model benchmarking; saliency; visual attention BibRef

Riche, N.[Nicolas], Duvinage, M.[Matthieu], Mancas, M.[Matei], Gosselin, B.[Bernard], Dutoit, T.[Thierry],
Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics,
ICCV13(1153-1160)
IEEE DOI 1403
Human eye fixations; Metrics; Saliency maps; Validation BibRef

Martinez, F., Carbone, A., Pissaloux, E.,
Combining first-person and third-person gaze for attention recognition,
FG13(1-6)
IEEE DOI 1309
behavioural sciences BibRef

Fritz, G.[Gerald], Paletta, L.[Lucas],
Semantic analysis of human visual attention in mobile eye tracking applications,
ICIP10(4565-4568).
IEEE DOI 1009
BibRef

Liang, Z.[Zhen], Fu, H.[Hong], Chi, Z.[Zheru], Feng, D.D.[David Dagan],
Refining a region based attention model using eye tracking data,
ICIP10(1105-1108).
IEEE DOI 1009
BibRef

Doshi, A.[Anup], Trivedi, M.M.[Mohan M.],
Attention estimation by simultaneous observation of viewer and view,
CVPR4HB10(21-27).
IEEE DOI 1006
BibRef
Earlier:
Head and gaze dynamics in visual attention and context learning,
VCL-ViSU09(77-84).
IEEE DOI 0906
BibRef

Nataraju, S.[Sunaad], Balasubramanian, V.[Vineeth], Panchanathan, S.[Sethuraman],
Learning attention based saliency in videos from human eye movements,
WMVC09(1-6).
IEEE DOI 0912
BibRef

Kawato, S.J.[Shin-Jiro], Utsumi, A.[Akira], Abe, S.J.[Shin-Ji],
Gaze Direction Estimation with a Single Camera Based on Four Reference Points and Three Calibration Images,
ACCV06(I:419-428).
Springer DOI 0601
BibRef
Earlier: A2, A1, A3:
Attention Monitoring Based on Temporal Signal-Behavior Structures,
CVHCI05(100).
Springer DOI 0601
BibRef

Gu, E.[Erdan], Wang, J.B.[Jing-Bin], Badler, N.I.,
Generating Sequence of Eye Fixations Using Decision-theoretic Attention Model,
AttenPerf05(III: 92-92).
IEEE DOI 0507
BibRef

Soliman, M., Tavakoli, H.R., Laaksonen, J.,
Towards gaze-based video annotation,
IPTA16(1-5)
IEEE DOI 1703
computer vision BibRef

Liu, H.Y.[Hui-Ying], Xu, D.[Dong], Huang, Q.M.[Qing-Ming], Li, W.[Wen], Xu, M.[Min], Lin, S.[Stephen],
Semantically-Based Human Scanpath Estimation with HMMs,
ICCV13(3232-3239)
IEEE DOI 1403
Attention; Gaze shift; Hidden Markov Model; Levy flight; Saliency BibRef

Park, H.S.[Hyun Soo], Jain, E.[Eakta], Sheikh, Y.[Yaser],
Predicting Primary Gaze Behavior Using Social Saliency Fields,
ICCV13(3503-3510)
IEEE DOI 1403
Gaze prediction; Social scene understanding BibRef

Shi, T.[Tao], Sugimoto, A.[Akihiro],
Video Saliency Modulation in the HSI Color Space for Drawing Gaze,
PSIVT13(206-219).
Springer DOI 1402
BibRef

Yun, K.[Kiwon], Peng, Y.F.[Yi-Fan], Samaras, D.[Dimitris], Zelinsky, G.J.[Gregory J.], Berg, T.L.[Tamara L.],
Studying Relationships between Human Gaze, Description, and Computer Vision,
CVPR13(739-746)
IEEE DOI 1309
BibRef

Leifman, G., Rudoy, D.[Dmitry], Swedish, T., Bayro-Corrochano, E., Raskar, R.,
Learning Gaze Transitions from Depth to Improve Video Saliency Estimation,
ICCV17(1707-1716)
IEEE DOI 1802
convolution, gaze tracking, image colour analysis, learning (artificial intelligence), neural nets, Visualization BibRef

Rudoy, D.[Dmitry], Goldman, D.B.[Dan B.], Shechtman, E.[Eli], Zelnik-Manor, L.[Lihi],
Learning Video Saliency from Human Gaze Using Candidate Selection,
CVPR13(1147-1154)
IEEE DOI 1309
BibRef

Chi, C.[Chen], Qing, L.Y.[Lai-Yun], Miao, J.[Jun], Chen, X.L.[Xi-Lin],
Evaluation of the Impetuses of Scan Path in Real Scene Searching,
Gaze10(450-459).
Springer DOI 1109
BibRef

Yamada, K.[Kentaro], Sugano, Y.[Yusuke], Okabe, T.[Takahiro], Sato, Y.[Yoichi], Sugimoto, A.[Akihiro], Hiraki, K.[Kazuo],
Attention Prediction in Egocentric Video Using Motion and Visual Saliency,
PSIVT11(I: 277-288).
Springer DOI 1111
BibRef
Earlier:
Can Saliency Map Models Predict Human Egocentric Visual Attention?,
Gaze10(420-429).
Springer DOI 1109
BibRef

Hoque, M.M.[Mohammed Moshiul], Onuki, T.[Tomami], Tsuburaya, E.[Emi], Kobayashi, Y.[Yoshinori], Kuno, Y.[Yoshinori], Sato, T.[Takayuki], Kodama, S.[Sachiko],
An Empirical Framework to Control Human Attention by Robot,
Gaze10(430-439).
Springer DOI 1109
BibRef

Filip, J.[Jiri], Haindl, M.[Michal], Chantler, M.J.[Michael J.],
Gaze-Motivated Compression of Illumination and View Dependent Textures,
ICPR10(862-865).
IEEE DOI 1008
BibRef

Davies, S.J.C., Agrafiotis, D., Canagarajah, C.N., Bull, D.R.,
A gaze prediction technique for open signed video content using a track before detect algorithm,
ICIP08(705-708).
IEEE DOI 0810
BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Hand-Eye Coordination .


Last update:Oct 16, 2021 at 11:54:21