Moving Vehicle Detection Using Deep Neural Network

被引：0

作者：

Soin, Akhil ^{[1
]}

Chahande, Manisha ^{[1
]}

机构：

[1] Amity Univ Uttar Pradesh, Noida, India

来源：

2017 INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN COMPUTING AND COMMUNICATION TECHNOLOGIES (ICETCCT) | 2017年

关键词：

deep learning; RCNN; convolution neural network; CLASSIFICATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In recent years, vehicle recognition has become one of the most important applications in the field of intelligent traffic monitoring and management. Vehicles detection on road is a necessary component in many intelligent applications, such as driver assistance systems, automatic toll collection, intelligent parking systems, self-guided vehicles and traffic statistics such as speed, flow and vehicle count. The main goal of our study is to detect the moving vehicles on road for driverless car assistance system. We address the vehicle detection and recognition problems using Deep Neural Networks (DNNs) approach. Our proposed approach outperforms state-of-the art method.

引用

页码：215 / 218

页数：4

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