Mr. Fan Zhao Profile

Fan Zhao

at Wuhan Univ

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

Real-time pedestrian video segmentation using memory network

Fan Zhao, Jin Liu

Proceedings Volume 11432, 114320M (2020) https://doi.org/10.1117/12.2541903

KEYWORDS: Video, Image segmentation, RGB color model, Computer programming, Network architectures, Visualization, Image processing algorithms and systems

Read Abstract +

We propose a fast and efficient method for pedestrian video segmentation. Previous methods can only use the first frame or the previous frame or a combination of the two, but in our framework, all past frames can be used by using memory network. The past frames with corresponding masks form the memory, and the current frame as the target will be segmented using the information from the memory instead of itself for only. The solution can better handle the problems such as movement and appearance changes in the video. ResUnet is used as the segmentation network to improve time efficiency. Since no dataset is publicly available yet for pedestrian video segmentation, we have internally labeled a large dataset which contains 216 sequences in the training set and 24 sequences in the test set and it will be made public in the future. We validate our method on the test set and achieved the mean IU of 92.6 which is better than using previous methods while keeping real-time(90FPS for input of 160*96 on a TITAN V).

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