By Topic

Neural networks for 3-D motion detection from a sequence of image frames

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Chan Lai Wan ; Dept. of Comput. Sci., Chinese Univ. of Hong Kong, Shatin, Hong Kong ; Yip Pak Ching

A three-dimensional (3-D) motion detection system is described. This system consists of three stages; the rough motion detection stage, the moving object extraction stage, and the 3-D motion detection stage. Five neural networks, the correlation network, the rough motion detection network, the edge enhancement network, the background remover, and the normalization network, are designed for the implementation of these three stages. The processing time of the system depends on the number of moving objects detected. Normally, it will take about 9s on a sequential machine, such as the 80386. Two moving objects and their motions were detected correctly with this system

Published in:

Neural Networks, 1991. 1991 IEEE International Joint Conference on

Date of Conference:

18-21 Nov 1991