Dense optical flow in stabilized scenes for moving object detection from a moving camera

2016 ◽  
Author(s):  
Laksono Kurnianggoro ◽  
Ajmal Shahbaz ◽  
Kang-Hyun Jo
Keyword(s):  
Object Detection ◽  
Optical Flow ◽  
Moving Object Detection ◽  
Moving Object ◽  
Moving Camera ◽  
Dense Optical Flow

scholarly journals Dense Optical flow based Moving Object Detection at Dynamic Scenes

2016 ◽  
Vol 11 (5) ◽  
pp. 277-285
Author(s):  
Hyojin Lim ◽  
Yeongyu Choi ◽  
Cuong Nguyen Khac ◽  
Ho-Youl Jung
Keyword(s):  
Object Detection ◽  
Optical Flow ◽  
Moving Object Detection ◽  
Moving Object ◽  
Dynamic Scenes ◽  
Dense Optical Flow

The research of moving object detection with a moving camera

2013 ◽  
Author(s):  
Hai-xin Chen ◽  
Guo-hua Gu ◽  
Xiao-feng Bai ◽  
Tie-kun Zhao ◽  
Fu-yuan Xu
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Moving Camera

Moving object detection based on optical flow and neural network fusion

2016 ◽  
Vol 9 (4) ◽  
pp. 325-335 ◽  
Author(s):  
Haiqun Qin ◽  
Ziyang Zhen ◽  
Kun Ma
Keyword(s):  
Neural Network ◽  
Object Detection ◽  
Optical Flow ◽  
Target Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Monitoring Systems ◽  
Dynamic Background ◽  
Content Type ◽  
New Generation

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.

Joint Exploitation of Features and Optical Flow for Real-Time Moving Object Detection on Drones

2019 ◽  
pp. 100-116
Author(s):  
Hazal Lezki ◽  
I. Ahu Ozturk ◽  
M. Akif Akpinar ◽  
M. Kerim Yucel ◽  
K. Berker Logoglu ◽  
...  
Keyword(s):  
Object Detection ◽  
Optical Flow ◽  
Real Time ◽  
Moving Object Detection ◽  
Moving Object
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