Open AccessResearch on Situation System Based on Big Data Image -- Taking Road Traffic as an Example
Author(s) -
Yu Zhu,
Jianxin Zhao,
Xiaohang Li,
Yu Ning,
Yuqing Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/2/022037
Subject(s) - computer science , convolutional neural network , object (grammar) , class (philosophy) , big data , artificial intelligence , convolution (computer science) , process (computing) , image (mathematics) , function (biology) , computer vision , image processing , artificial neural network , data mining , evolutionary biology , biology , operating system
In this paper, based on convolution neural network, object class awareness is carried out, Relu is selected as the activation function, which speeds up the training speed and overcomes the problem of gradient disappearance; using situation awareness technology and database technology, all object classes in the image scene are identified, and its location is specified. This paper takes the road traffic situation awareness system as the research object, and analyzes the information collection, processing and analysis process of the road traffic situation awareness system. CNN, R-CNN, Fast R-CNN and Faster R-CNN are used for vehicle classification and location recognition in road image big data.