Towards efficient and objective work sampling: Recognizing workers' activities in site surveillance videos with two-stream convolutional networks-Reference-Cited by-同舟云学术

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Towards efficient and objective work sampling: Recognizing workers' activities in site surveillance videos with two-stream convolutional networks

Published:2018-10 Issue: Volume:94 Page:360-370
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Luo Xiaochun,Li Heng^ORCID,Cao Dongping^ORCID,Yu Yantao,Yang Xincong^ORCID,Huang Ting

Funder

Innovation and Technology Commission (ITC) of Hong Kong

Research Grants Council of Hong Kong

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference63 articles.

1. Cost Escalation in the Hong Kong Construction Industry Report;Rowlinson,2014

2. Productivity in Construction;Dozzi,1993

3. Motivation and Cognitive Control;Braver,2015

4. Skeleton based action recognition with convolutional neural network;Du,2015

5. Hierarchical recurrent neural network for skeleton based action recognition;Du;Proc. IEEE Conf. Comput. Vis. Pattern Recognit.,2015

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