Learning and classifying motions of construction workers and equipment using bag of video feature words and Bayesian learning methods

Congress on Computing in Civil Engineering, Proceedings

Volumn , Issue , 2011, Pages 274-281

  Gong, Jie ^a   Caldas, Carlos H ^b  

^a SOUTHERN ILLINOIS UNIVERSITY EDWARDSVILLE   (United States)

^b The University of Texas at Austin   (United States)

Author keywords

Bayesian analysis; Classification; Construction equipment; Labor

Indexed keywords

BAYESIAN ANALYSIS; BAYESIAN LEARNING; CONSTRUCTION ENVIRONMENT; CONSTRUCTION WORKERS; ERGONOMIC STUDIES; HEAVY EQUIPMENT; MOTION ANALYSIS; MOTION CLASSIFICATION; MOTION MODELS; MULTIPLE MOTIONS; PARTIAL OCCLUSIONS; POTENTIAL APPLICATIONS; RAPID CONSTRUCTION; VIDEO DATA; VIDEO FEATURES; VIDEO SEGMENTS;

CIVIL ENGINEERING; CLASSIFICATION (OF INFORMATION); CONSTRUCTION INDUSTRY; EQUIPMENT TESTING; IMAGE SEGMENTATION; LEARNING SYSTEMS; MOTION ESTIMATION; PERSONNEL; STATISTICAL TESTS; VIDEO RECORDING;

CONSTRUCTION EQUIPMENT;

EID: 80053160434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41182(416)34     Document Type: Conference Paper

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