scholarly journals Moving Object Detection via Color Optical Flow and Visual Objectness Measurement

Author(s):  
JIASHU DAI ◽  
NAN YAN ◽  
TAO LIU ◽  
JUN WANG
Author(s):  
Haiqun Qin ◽  
Ziyang Zhen ◽  
Kun Ma

Purpose The purpose of this paper is to meet the large demand for the new-generation intelligence monitoring systems that are used to detect targets within a dynamic background. Design/methodology/approach A dynamic target detection method based on the fusion of optical flow and neural network is proposed. Findings Simulation results verify the accuracy of the moving object detection based on optical flow and neural network fusion. The method eliminates the influence caused by the movement of the camera to detect the target and has the ability to extract a complete moving target. Practical implications It provides a powerful safeguard for target detection and targets the tracking application. Originality/value The proposed method represents the fusion of optical flow and neural network to detect the moving object, and it can be used in new-generation intelligent monitoring systems.


Author(s):  
Hazal Lezki ◽  
I. Ahu Ozturk ◽  
M. Akif Akpinar ◽  
M. Kerim Yucel ◽  
K. Berker Logoglu ◽  
...  

2016 ◽  
Vol 11 (5) ◽  
pp. 277-285
Author(s):  
Hyojin Lim ◽  
Yeongyu Choi ◽  
Cuong Nguyen Khac ◽  
Ho-Youl Jung

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