This paper presents an automated system for actual productivity assessment of earthmoving operations in near real-time. Several research attempts had been made to calculate productivity, but a number limitations had been found in literature such as, assuming the hauling unit is loaded to its full capacity and the need for manual user entry of efficiency factors (For example: bucket fill factor).
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GET A QUOTERezazadeh Azar, E, McCabe, BY, 2012, "Automated visual recognition of dump trucks in construction videos", ASCE Journal of Computing in Civil Engineering, 26(6):769-781 Refereed Journal Papers Joseph, Shannon A, Adams, Barry J, McCabe, BY, 2010, "A Methodology for Bayesian Belief Network Development to Facilitate Compliance with Water
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GET A QUOTEPart based model and spatial–temporal reasoning to recognize hydraulic excavators in construction images and videos. ER Azar, B McCabe. Automation in construction 24, 194-202, 2012. 135: 2012: Automated visual recognition of dump trucks in construction videos. E Rezazadeh Azar, B McCabe. Journal of computing in civil engineering 26 (6), 769
GET A QUOTETwo detection algorithms, namely, Haar–histogram of oriented gradients (HOG) and Blob-HOG, are presented and evaluated for their ability to recognize dump trucks in videos as measured by both effectiveness and timeliness.
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GET A QUOTEPart based model and spatial–temporal reasoning to recognize hydraulic excavators in construction images and videos. ER Azar, B McCabe. Automation in construction 24, 194-202, 2012. 134: 2012: Automated visual recognition of dump trucks in construction videos. E Rezazadeh Azar, B McCabe. Journal of computing in civil engineering 26 (6), 769
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GET A QUOTEAbstract This paper presents a new benchmark dataset for validating vision-based methods that automatically identifies visually distinctive working activities of excavators and dump trucks from individual frames of a video sequence. Our dataset consists of 10 videos of interacting pairs of construction equipment filmed at ground level with accompanying ground truth annotations.
GET A QUOTERezazadeh Azar, E., and McCabe, B. (2012). "Part based model and spatial-temporal reasoning to recognize hydraulic excavators in construction images and videos." Automation in Construction, Elsevier, 24, 194-202. Rezazadeh Azar, E., and McCabe, B. (2012). "Automated visual recognition of dump trucks in construction videos."
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GET A QUOTEDownload Citation | Automated Visual Recognition of Dump Trucks in Construction Videos | Earthmoving plants are essential but costly resources in the construction …
GET A QUOTEJul 11, 2012 · Automated Visual Recognition of Dump Trucks in Construction Videos Journal of Computing in Civil Engineering November 2011 Real-Time and Automated Recognition and 2D Tracking of Construction Workers and Equipment from Site Video Streams
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