Crowdsourcing Construction Activity Analysis from Jobsite Video Streams

2015 ◽  
Vol 141 (11) ◽  
pp. 04015035 ◽  
Author(s):  
Kaijian Liu ◽  
Mani Golparvar-Fard
2021 ◽  
Author(s):  
Yongchen Wang ◽  
Ying Wang ◽  
Huawei Li ◽  
Xiaowei Li

2014 ◽  
Vol 13 (8) ◽  
pp. 4776-4781
Author(s):  
Ms. Pritee Gupta ◽  
Dr. Yashpal Singh

 Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient. This paper implemented a method to detect moving object based on background subtraction. First of all, we establish a reliable background updating model based on statistical and use a dynamic optimization threshold method to obtain a more complete moving object. The moving human bodies are accurately and reliably detected. The experiment results show that the proposed method runs quickly, accurately and fits for the real-time detection.


2018 ◽  
Vol 44 (2) ◽  
pp. 122-128
Author(s):  
A. V. Skubilina ◽  
◽  
О. O. Makeeva ◽  

2017 ◽  
Vol 6 (3) ◽  
pp. 2948-2950
Author(s):  
Vaishnavi Sivakali Subramanian ◽  
◽  
R.V Geetha ◽  
Anitha Roy ◽  
◽  
...  

Sign in / Sign up

Export Citation Format

Share Document