Optical flow techniques for moving target detection

1991 ◽  
Author(s):  
Paul Russo ◽  
Vishal Markandey ◽  
Trung H. Bui ◽  
David Shrode
Keyword(s):  
Optical Flow ◽  
Target Detection ◽  
Moving Target ◽  
Moving Target Detection ◽  
Flow Techniques

Regularized CDWT optical flow applied to moving-target detection in IR imagery

2000 ◽  
Vol 11 (6) ◽  
pp. 277-288 ◽  
Author(s):  
Gabriela Castellano ◽  
James Boyce ◽  
Mark Sandler
Keyword(s):  
Optical Flow ◽  
Target Detection ◽  
Moving Target ◽  
Moving Target Detection

A method of security management of early warning based on mean shift algorithm and data mining

2020 ◽  
Vol 39 (6) ◽  
pp. 8953-8960
Author(s):  
Jin Wang
Keyword(s):  
Optical Flow ◽  
Target Detection ◽  
Early Warning ◽  
Mean Shift ◽  
Security Management ◽  
Moving Target ◽  
Moving Target Detection ◽  
Flow Method ◽  
Optical Flow Method ◽  
And Control

Facing COVID-19 epidemic, many countries have recently strengthened epidemic prevention and control measures. The reliability of safety management is of great significance to personnel management and control during the COVID-19 epidemic period. The focus of security management of early warning is to monitor and identify the moving target. The current optical flow method is vulnerable to the influence of light changes and background movement, and it is not very accurate for moving target detection in dynamic complex background. In this paper, aiming at the traditional Lucas Kanade optical flow method, the inter frame difference method, mean shift clustering algorithm and morphological processing are combined to optimize and improve on the original basis, so that the moving target detection effect in both simple and complex environments is significantly improved. At the same time, the improved algorithm also reduces the execution time to a certain extent, and has a certain resistance to noise interference such as light changes. This has a certain ability test value for personnel control during the epidemic.

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