Moving object detection under complex background using radial basis function neural network

Zuomei Lai; Jingru Wang; Qiheng Zhang

doi:10.1117/12.725457

29 January 2007 Moving object detection under complex background using radial basis function neural network

Zuomei Lai, Jingru Wang, Qiheng Zhang

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62794U (2007) https://doi.org/10.1117/12.725457
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

Abstract

It is well known that moving object detection under complex background becomes more difficult because of moving cameras. According to the fact that background and objects have different motion, the moving scene can be decomposed into different regions with respect to their motion by means of a radial basis function(RBF) learning scheme. After global background motion compensation, five-dimensional (5-D) feature vectors include pixel intensities, current pixel coordinates and pixel dense optical flow field extracted from image sequences are treated as the inputs of the RBF network. The learning algorithm for the network minimizes a cost function derived from the Bayesian estimation theory. Each output unit of the network is associated to a moving object. Experimental results indicate the algorithm's validity after many complex sequences are tested.

Citation Download Citation

Zuomei Lai, Jingru Wang, and Qiheng Zhang "Moving object detection under complex background using radial basis function neural network", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62794U (29 January 2007); https://doi.org/10.1117/12.725457

ACCESS THE FULL ARTICLE

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: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Optical flow

Image segmentation

Image processing algorithms and systems

Neural networks

Cameras

Detection and tracking algorithms

Feature extraction

Show All Keywords

Keywords/Phrases

Search In:

Publication Years