Automatic detection system of the fallen down for the parked bicycle in the underground parking garage using optical flow method

Author(s):  
Fumiaki Takeda
2020 ◽  
Vol 34 (10) ◽  
pp. 13795-13796
Author(s):  
U-Ju Gim ◽  
Jae-Jun Lee ◽  
Jeong-Hun Kim ◽  
Young-Ho Park ◽  
Aziz Nasridinov

The use of closed circuit television (CCTV) surveillance devices is increasing every year to prevent abnormal behaviors, including shoplifting. However, damage from shoplifting is also increasing every year. Thus, there is a need for intelligent CCTV surveillance systems that ensure the integrity of shops, despite workforce shortages. In this study, we propose an automatic detection system of shoplifting behaviors from surveillance videos. Instead of extracting features from the whole frame, we use the Region of Interest (ROI) optical-flow fusion network to highlight the necessary features more accurately.


2021 ◽  
Vol 1754 (1) ◽  
pp. 012233
Author(s):  
Han Hou ◽  
Guohua Cao ◽  
Hongchang Ding ◽  
Changfu Zhao ◽  
Aijia Wang

2007 ◽  
Vol 188 (3) ◽  
pp. W276-W280 ◽  
Author(s):  
Drew A. Torigian ◽  
Warren B. Gefter ◽  
John D. Affuso ◽  
Kiarash Emami ◽  
Lawrence Dougherty

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