An intelligent vision system for motion detection using a neural network

Author

Zein-Sabatto, S. ; Kuah, K. ; Hajeomar, R. ; Bodruzzaman, M.

Author_Institution

Dept. of Electr. & Comput. Eng., Tennessee State Univ., Nashville, TN, USA

fYear

1994

fDate

10-13 Apr 1994

Firstpage

362

Lastpage

366

Abstract

This paper presents a neural network-based motion detector system of an object. The system consists of two components: a preprocessing and data compression part and a decision making subsystem that provides information about the motion of an object. A neural network is used as a decision making subsystem. The network is trained with a general object motion and tested on a specific unseen motion by the network. The training and testing errors were used to judge the performance of the network. The result is promising and shows the potential application of neural network to design a motion detection system

Keywords

computer vision; data compression; motion estimation; neural nets; data compression; decision making subsystem; general object motion; intelligent vision system; motion detection; neural network; performance; preprocessing; testing errors; training errors; Decision making; Humans; Intelligent networks; Intelligent systems; Machine vision; Motion detection; Navigation; Neural networks; Retina; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '94. Creative Technology Transfer - A Global Affair., Proceedings of the 1994 IEEE

Conference_Location

Miami, FL

Print_ISBN

0-7803-1797-1

Type

conf

DOI

10.1109/SECON.1994.324336

Filename

324336