Bayesian filter based behavior recognition in workflows allowing for user feedback
暂无分享,去创建一个
Athanasios Voulodimos | Nikolaos D. Doulamis | Dimitrios I. Kosmopoulos | A. Voulodimos | N. Doulamis | D. Kosmopoulos
[1] J. J. Rocchio,et al. Relevance feedback in information retrieval , 1971 .
[2] Gerard Salton,et al. The SMART Retrieval System—Experiments in Automatic Document Processing , 1971 .
[3] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[4] Lawrence R. Rabiner,et al. A tutorial on Hidden Markov Models , 1986 .
[5] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[6] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[7] Aaron F. Bobick,et al. A State-Based Approach to the Representation and Recognition of Gesture , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Narendra Ahuja,et al. Extraction and classification of visual motion patterns for hand gesture recognition , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[9] Gerhard Rigoll,et al. Hidden Markov model based continuous online gesture recognition , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[10] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..
[11] Thomas de Quincey. [C] , 2000, The Works of Thomas De Quincey, Vol. 1: Writings, 1799–1820.
[12] Takashi Matsuyama,et al. Multiobject Behavior Recognition by Event Driven Selective Attention Method , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[14] Thomas S. Huang,et al. Relevance feedback in image retrieval: A comprehensive review , 2003, Multimedia Systems.
[15] P. Fearnhead,et al. On‐line inference for hidden Markov models via particle filters , 2003 .
[16] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[17] Tieniu Tan,et al. A survey on visual surveillance of object motion and behaviors , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[18] Nikolaos D. Doulamis,et al. Generalized nonlinear relevance feedback for interactive content-based retrieval and organization , 2004, IEEE Transactions on Circuits and Systems for Video Technology.
[19] Eric Horvitz,et al. Layered representations for learning and inferring office activity from multiple sensory channels , 2004, Comput. Vis. Image Underst..
[20] Ronald,et al. Learning representations by backpropagating errors , 2004 .
[21] Yoram Singer,et al. The Hierarchical Hidden Markov Model: Analysis and Applications , 1998, Machine Learning.
[22] Noel E. O'Connor,et al. Event detection in field sports video using audio-visual features and a support vector Machine , 2005, IEEE Transactions on Circuits and Systems for Video Technology.
[23] Anastasios Doulamis,et al. Knowledge Extraction in Stereo Video Sequences Using Adaptive Neural Networks , 2005 .
[24] Ramakant Nevatia,et al. Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost , 2006, ECCV.
[25] Shaogang Gong,et al. Beyond Tracking: Modelling Activity and Understanding Behaviour , 2006, International Journal of Computer Vision.
[26] Nikolaos D. Doulamis,et al. Evaluation of relevance feedback schemes in content-based in retrieval systems , 2006, Signal Process. Image Commun..
[27] Michael S. Lew,et al. Real-time object tracking with relevance feedback , 2007, CIVR '07.
[28] Xiang Zhang,et al. Online Analysis of Hierarchical Events in Meetings , 2007, HCI.
[29] Patrick Pérez,et al. Retrieving actions in movies , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[30] Irfan A. Essa,et al. Structure from Statistics - Unsupervised Activity Analysis using Suffix Trees , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[31] José Carlos Príncipe,et al. Special issue on echo state networks and liquid state machines , 2007, Neural Networks.
[32] Mao-Hsiung Hung,et al. Event Detection of Broadcast Baseball Videos , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[33] Zhihong Zeng,et al. Audio–Visual Affective Expression Recognition Through Multistream Fused HMM , 2008, IEEE Transactions on Multimedia.
[34] Yap-Peng Tan,et al. Intelligent Multimedia Processing with Soft Computing , 2008 .
[35] Shaogang Gong,et al. Optimising dynamic graphical models for video content analysis , 2008, Comput. Vis. Image Underst..
[36] Li Layuan,et al. Real Time Analysis of Situation Events for Intelligent Surveillance , 2008, 2008 International Symposium on Computational Intelligence and Design.
[37] Anastasios D. Doulamis,et al. Adaptable Neural Networks for Objects' Tracking Re-initialization , 2009, ICANN.
[38] Xinghua Sun,et al. Action recognition via local descriptors and holistic features , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[39] Sotirios Chatzis,et al. Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Dongqing Zhang,et al. SMC method for online prediction in hidden Markov models , 2009, Kybernetes.
[41] Nassir Navab,et al. Workflow monitoring based on 3D motion features , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[42] Yang Wang,et al. Human Action Recognition by Semilatent Topic Models , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] C. Shelton,et al. Interactive Event Search through Transfer Learning , 2010, ACCV.
[44] Wei-bang Chen,et al. A Multiple Instance Learning and Relevance Feedback Framework for Retrieving Abnormal Incidents in Surveillance Videos , 2010, J. Multim..
[45] Sotirios Chatzis,et al. Robust Visual Behavior Recognition , 2010, IEEE Signal Processing Magazine.
[46] Luc Van Gool,et al. Automatic Workflow Monitoring in Industrial Environments , 2010, ACCV.
[47] Mubarak Shah,et al. Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Luc Van Gool,et al. Robust Workflow Recognition Using Holistic Features and Outlier-Tolerant Fused Hidden Markov Models , 2010, ICANN.
[49] Theodora A. Varvarigou,et al. Enhanced human behavior recognition using HMM and evaluative rectification , 2010, ARTEMIS '10.
[50] Qi Tian,et al. Action Recognition Using Spatial-Temporal Context , 2010, 2010 20th International Conference on Pattern Recognition.
[51] Luc Van Gool,et al. A Hough transform-based voting framework for action recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[52] Ronald Poppe,et al. A survey on vision-based human action recognition , 2010, Image Vis. Comput..
[53] Theodora A. Varvarigou,et al. Robust Human Behavior Modeling from Multiple Cameras , 2010, 2010 20th International Conference on Pattern Recognition.
[54] Claudio Gallicchio,et al. Architectural and Markovian factors of echo state networks , 2011, Neural Networks.
[55] Theodora A. Varvarigou,et al. A dataset for workflow recognition in industrial scenes , 2011, 2011 18th IEEE International Conference on Image Processing.
[56] Andrej Pázman,et al. Nonlinear Regression , 2019, Handbook of Regression Analysis With Applications in R.