Visual Tracking of Construction Jobsite Workforce and Equipment with Particle Filtering-Reference-Cited by-同舟云学术

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Visual Tracking of Construction Jobsite Workforce and Equipment with Particle Filtering

Published:2016-11 Issue:6 Volume:30 Page:04016023
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Zhu Zhenhua¹,Ren Xiaoning²,Chen Zhi³

Affiliation:

1. Assistant Professor, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, Canada H3G 1M8 (corresponding author).

2. Graduate Student, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, Canada H3G 1M8.

3. Professor, Dept. of Building, Civil, and Environmental Engineering, Concordia Univ., Montreal, Canada H3G 1M8.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000573

Reference46 articles.

1. Ababsa F. (2010). “Real-time camera tracking for structured environment using an iterated particle filter.” IEEE Int. Conf. on Systems Man and Cybernetics (SMC) IEEE New York 3039–3044.

2. Aherne F. J. Rockett P. I. and Thacker N. A. (1997). “Automatic parameter selection for object recognition using a parallel multiobjective genetic algrorithm.” Int. Conf. on Computer Analysis of Images and Patterns (CAIP’97) Kiel Germany.

3. Sequential Monte Carlo tracking by fusing multiple cues in video sequences

4. An object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operations

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