Capturing and Understanding Workers’ Activities in Far‐Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning
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Xiaochun Luo | Yantao Yu | Dongping Cao | Heng Li | Xincong Yang | Heng Li | Dongping Cao | Xiaochun Luo | Xincong Yang | Yantao Yu
[1] Matthew J. Johnson,et al. The Hierarchical Dirichlet Process Hidden Semi-Markov Model , 2010, UAI.
[2] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[3] Cordelia Schmid,et al. AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[4] James O. Berger,et al. An overview of robust Bayesian analysis , 1994 .
[5] Xiaochun Luo,et al. Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks , 2018, J. Comput. Civ. Eng..
[6] Ramakant Nevatia,et al. ACTIVE: Activity Concept Transitions in Video Event Classification , 2013, 2013 IEEE International Conference on Computer Vision.
[7] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[8] Matthew J. Johnson,et al. Bayesian nonparametric hidden semi-Markov models , 2012, J. Mach. Learn. Res..
[9] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Chris Hendrickson,et al. Project Management for Construction: Fundamental Concepts for Owners, Engineers, Architects, and Builders , 1989 .
[11] Samy Bengio,et al. Modeling individual and group actions in meetings with layered HMMs , 2006, IEEE Transactions on Multimedia.
[12] Martin Skitmore,et al. Quantifying Hazard Exposure Using Real-Time Location Data of Construction Workforce and Equipment , 2016 .
[13] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[14] Xiaochun Luo,et al. Towards efficient and objective work sampling: Recognizing workers' activities in site surveillance videos with two-stream convolutional networks , 2018, Automation in Construction.
[15] Cordelia Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[16] Xiaochun Luo,et al. A deep learning-based method for detecting non-certified work on construction sites , 2018, Adv. Eng. Informatics.
[17] Mario Cannataro,et al. Protein-to-protein interactions: Technologies, databases, and algorithms , 2010, CSUR.
[18] Thomas Brox,et al. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Juan Carlos Niebles,et al. Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers , 2013, Adv. Eng. Informatics.
[20] Zhongke Shi,et al. Vision-Based Tower Crane Tracking for Understanding Construction Activity , 2014, J. Comput. Civ. Eng..
[21] Fei Dai,et al. Risk Assessment of Work-Related Musculoskeletal Disorders in Construction: State-of-the-Art Review , 2015 .
[22] Fei Han,et al. Space-Time Representation of People Based on 3D Skeletal Data: A Review , 2016, Comput. Vis. Image Underst..
[23] Peter E.D. Love,et al. A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory , 2018 .
[24] Sven J. Dickinson,et al. Server-Customer Interaction Tracker: Computer Vision-Based System to Estimate Dirt-Loading Cycles , 2013 .
[25] Limin Wang,et al. Action recognition with trajectory-pooled deep-convolutional descriptors , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Zhongke Shi,et al. Vision-based action recognition of construction workers using dense trajectories , 2016, Adv. Eng. Informatics.
[27] Seunghoon Hong,et al. Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network , 2015, ICML.
[28] Song-Chun Zhu,et al. Joint inference of groups, events and human roles in aerial videos , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Michael I. Jordan,et al. Hierarchical Dirichlet Processes , 2006 .
[30] Shaogang Gong,et al. Recognition of group activities using dynamic probabilistic networks , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[31] J.K. Aggarwal,et al. Human activity analysis , 2011, ACM Comput. Surv..
[32] Wen Yi,et al. Mixed‐Integer Linear Programming on Work‐Rest Schedule Design for Construction Sites in Hot Weather , 2017, Comput. Aided Civ. Infrastructure Eng..
[33] Wen Yi,et al. Multi-Objective Mathematical Programming Approach to Construction Laborer Assignment with Equity Consideration , 2016, Comput. Aided Civ. Infrastructure Eng..
[34] Fabio Tozeto Ramos,et al. Simple online and realtime tracking , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[35] E. Soetens,et al. Psychophysiological investigation of vigilance decrement: Boredom or cognitive fatigue? , 2008, Physiology & Behavior.
[36] Henry A. Kautz,et al. Hierarchical Conditional Random Fields for GPS-Based Activity Recognition , 2005, ISRR.
[37] W. Eric L. Grimson,et al. Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Hyoungkwan Kim,et al. Using Hue, Saturation, and Value Color Space for Hydraulic Excavator Idle Time Analysis , 2007 .
[39] Svetha Venkatesh,et al. Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[40] Asim Karim,et al. OO Information Model for Construction Project Management , 1999 .
[41] Dietrich Paulus,et al. Simple online and realtime tracking with a deep association metric , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[42] Tahir Nawaz,et al. ViTBAT: Video tracking and behavior annotation tool , 2016, 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[43] Emily B. Fox,et al. Bayesian nonparametric learning of complex dynamical phenomena , 2009 .
[44] M N Haque. Surveillance on self-report: a trial of health and safety monitoring in occupational settings. , 2000, Occupational medicine.
[45] Mubarak Shah,et al. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.
[46] Carlos H. Caldas,et al. Learning and classifying actions of construction workers and equipment using Bag-of-Video-Feature-Words and Bayesian network models , 2011, Adv. Eng. Informatics.
[47] Asim Karim,et al. CONSCOM: An OO Construction Scheduling and Change Management System , 1999 .
[48] L. Wasserman,et al. The Selection of Prior Distributions by Formal Rules , 1996 .
[49] Xiaochun Luo,et al. Detecting non-hardhat-use by a deep learning method from far-field surveillance videos , 2018 .
[50] Patricio A. Vela,et al. Fusion of Photogrammetry and Video Analysis for Productivity Assessment of Earthwork Processes , 2017, Comput. Aided Civ. Infrastructure Eng..
[51] Jie Gong,et al. Computer Vision-Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations , 2010 .
[52] Cordelia Schmid,et al. Action recognition by dense trajectories , 2011, CVPR 2011.
[53] Pichao Wang,et al. Joint Distance Maps Based Action Recognition With Convolutional Neural Networks , 2017, IEEE Signal Processing Letters.
[54] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[55] Debbie M. Yee,et al. Interactions of motivation and cognitive control , 2018, Current Opinion in Behavioral Sciences.
[56] Ghassan Al-Regib,et al. TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition , 2017, Signal Process. Image Commun..
[57] Mani Golparvar-Fard,et al. Crowdsourcing Construction Activity Analysis from Jobsite Video Streams , 2015 .
[58] Eric Horvitz,et al. Layered representations for human activity recognition , 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.