Semi-supervised neural network training method for fast-moving object detection

2018 ◽  
Author(s):  
Igor Sevo
Keyword(s):  
Neural Network ◽  
Object Detection ◽  
Fast Moving ◽  
Moving Object Detection ◽  
Moving Object ◽  
Training Method ◽  
Neural Network Training ◽  
Network Training

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.

scholarly journals Memristive Threshold Logic Circuit Design of Fast Moving Object Detection

2015 ◽  
Vol 23 (10) ◽  
pp. 2337-2341 ◽  
Author(s):  
Akshay Kumar Maan ◽  
Dinesh Sasi Kumar ◽  
Sherin Sugathan ◽  
Alex Pappachen James
Keyword(s):  
Object Detection ◽  
Circuit Design ◽  
Fast Moving ◽  
Logic Circuit ◽  
Moving Object Detection ◽  
Moving Object ◽  
Threshold Logic

scholarly journals Automatic Fast Moving Object Detection in Video of Surveillance System

IARJSET ◽  
2017 ◽  
Vol 4 (5) ◽  
pp. 190-195 ◽  
Author(s):  
Pranali A. Pojage ◽  
Ajay A. Gurjar
Keyword(s):  
Object Detection ◽  
Fast Moving ◽  
Surveillance System ◽  
Moving Object Detection ◽  
Moving Object
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