Mr. Xiaofeng Ma Profile

Xiaofeng Ma

at Wuhan Institute of Technology

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 14 February 2020 Paper

Research and application of object recognition method based on depth neural network

Qiong Li, Xiaofeng Ma

Proceedings Volume 11430, 114301H (2020) https://doi.org/10.1117/12.2539410

KEYWORDS: Target detection, Object recognition, Target recognition, Convolutional neural networks, Neural networks, Convolution

Read Abstract +

As computer performance continues to improve, new deep learning algorithms emerge in an endless stream. Object recognition (target detection) is one of the influential research directions in the field of computer vision. The traditional object recognition method has the following problems: 1. The generation of the target suggestion frame has a cumbersome effect on the detection speed, accuracy and redundancy; 2. Artificially extracting the image features cannot guarantee the quality of the feature; 3. Using the traditional machine learning method for feature classification is low; 4.slow detection speed and low accuracy. In this paper, the DenseNet structure is used to improve the recognition accuracy, and the SSD is used to improve the detection speed. At the same time, with the classification detection technology and the jump connection technology used in the network, the experiment shows that the target detection efficiency is further improved.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years