Vision-Based Object-Centric Safety Assessment Using Fuzzy Inference: Monitoring Struck-By Accidents with Moving Objects

AbstractDue to the dynamic environment of construction sites, workers are continuously confronted with the potential for safety accidents. Although various safety guidelines have been developed, workers cannot always be aware of everything that occurs around them when they focus on their work on noisy and congested job sites. Therefore, it is difficult for workers to conform to guidelines to protect themselves when confronting dangerous situations. To address this safety issue, this paper presents an on-site safety-assessment system for monitoring struck-by accidents with moving entities based on computer vision and fuzzy inference. Computer vision is used to monitor a construction site and extract spatial information for each entity (workers and equipment). Next, fuzzy inference is used to assess the proper safety levels of each entity using spatial information. A safety level represents the potential hazard or the integrating danger that a person encounters at a particular moment. Struck-by accidents ar...

[1]  Jie Gong,et al.  An object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operations , 2011 .

[2]  Jimmie Hinze,et al.  The Nature of Struck-by Accidents , 2005 .

[3]  Simon Smith,et al.  Safety hazard identification on construction projects , 2006 .

[4]  Jie Gong,et al.  Computer Vision-Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations , 2010 .

[5]  G T Taoka.  BREAK REACTION TIMES OF UNALERTED DRIVERS , 1989 .

[6]  John G. Casali,et al.  Interaction of Vehicle Speed and Auditory Detection of Backup Alarms AKA: Can the Construction Worker Get Out of the Way? , 2007 .

[7]  Chi Ming Tam,et al.  Non-structural fuzzy decision support system for evaluation of construction safety management system , 2002 .

[8]  Amin Hammad,et al.  Dynamic equipment workspace generation for improving earthwork safety using real-time location system , 2015, Adv. Eng. Informatics.

[9]  Carlos H. Caldas,et al.  Real-Time Three-Dimensional Occupancy Grid Modeling for the Detection and Tracking of Construction Resources , 2007 .

[10]  Jin Wang,et al.  A subjective methodology for safety analysis of safety requirements specifications , 1997, IEEE Trans. Fuzzy Syst..

[11]  Murat Gunduz,et al.  Fuzzy Assessment Model to Estimate the Probability of Delay in Turkish Construction Projects , 2015 .

[12]  Brenda McCabe,et al.  Automated Visual Recognition of Dump Trucks in Construction Videos , 2012, J. Comput. Civ. Eng..

[13]  Christian Koch,et al.  Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System , 2012 .

[14]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[15]  Seokho Chi,et al.  A Methodology for Object Identification and Tracking in Construction Based on Spatial Modeling and Image Matching Techniques , 2009, Comput. Aided Civ. Infrastructure Eng..

[16]  Alice H Suter,et al.  Construction noise: exposure, effects, and the potential for remediation; a review and analysis. , 2002, AIHA journal : a journal for the science of occupational and environmental health and safety.

[17]  Ioannis Brilakis,et al.  Construction worker detection in video frames for initializing vision trackers , 2012 .

[18]  Seokho Chi,et al.  Image-Based Safety Assessment: Automated Spatial Safety Risk Identification of Earthmoving and Surface Mining Activities , 2012 .

[19]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[20]  Janaka Y. Ruwanpura,et al.  Automated Real-Time Monitoring System to Measure Shift Production of Tunnel Construction Projects , 2013 .

[21]  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.

[22]  Swarup Medasani,et al.  An overview of membership function generation techniques for pattern recognition , 1998, Int. J. Approx. Reason..

[23]  Brenda McCabe,et al.  Part based model and spatial–temporal reasoning to recognize hydraulic excavators in construction images and videos , 2012 .

[24]  Jose A. Ballesteros,et al.  Noise exposure of workers of the construction sector , 2009 .

[25]  Zhongke Shi,et al.  Tracking multiple workers on construction sites using video cameras , 2010, Adv. Eng. Informatics.

[26]  Ting-Hua Yi,et al.  Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets , 2013, TheScientificWorldJournal.

[27]  Mani Golparvar-Fard,et al.  Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors , 2013 .

[28]  Ioannis Brilakis,et al.  Comparative study of vision tracking methods for tracking of construction site resources , 2011 .

[29]  Hyoungkwan Kim,et al.  Using Hue, Saturation, and Value Color Space for Hydraulic Excavator Idle Time Analysis , 2007 .

[30]  G. Emre Gürcanli,et al.  An occupational safety risk analysis method at construction sites using fuzzy sets , 2009 .

[31]  Ioannis K. Brilakis,et al.  Automated vision tracking of project related entities , 2011, Adv. Eng. Informatics.

[32]  A R Duff,et al.  Contributing factors in construction accidents. , 2005, Applied ergonomics.

[33]  Changyoon Kim,et al.  On-Site Safety Management Using Image Processing and Fuzzy Inference , 2014 .

[34]  Miroslaw J. Skibniewski,et al.  A probabilistic approach for safety risk analysis in metro construction , 2014 .

[35]  Patricio A. Vela,et al.  Personnel tracking on construction sites using video cameras , 2009, Adv. Eng. Informatics.

[36]  Jimmie Hinze,et al.  Identifying Root Causes of Construction Injuries , 1998 .

[37]  I. Turksen,et al.  Measurement of Membership Functions: Theoretical and Empirical Work , 2000 .

[38]  Seokho Chi,et al.  Automated Object Identification Using Optical Video Cameras on Construction Sites , 2011, Comput. Aided Civ. Infrastructure Eng..

[39]  D. Fang,et al.  Why operatives engage in unsafe work behavior: Investigating factors on construction sites , 2008 .

[40]  W. Eric L. Grimson,et al.  Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[41]  Zhongke Shi,et al.  A performance evaluation of vision and radio frequency tracking methods for interacting workforce , 2011, Adv. Eng. Informatics.

[42]  Jian-Bo Yang,et al.  Fuzzy Rule-Based Evidential Reasoning Approach for Safety Analysis , 2004, Int. J. Gen. Syst..

[43]  Jin Wang,et al.  A fuzzy-logic-based approach to qualitative safety modelling for marine systems , 2001, Reliab. Eng. Syst. Saf..