An integrated vision system: object detection and localization

Author

Reyna, Roberto A. ; Esteve, Daniel ; Martinez, Dominique

Author_Institution

Lab. d´´Analyse et d´´Archit. des Syst., Toulouse, France

fYear

1999

fDate

1999

Firstpage

118

Lastpage

121

Abstract

Several industrial and research activities are demanding more robust and efficient image processing systems. Whether they are discrete systems exploiting the capacities of the latest processors and algorithms in the market, or whether they are integrated systems exploiting the advancements in technology: compactness, low power and speed. This paper describes a real-time vision integrated system for object recognition, based in an APS CMOS matrix. The aim of this work is to demonstrate that we can take some decisions on the fly of the reading process in order to locate and identify objects within the entire image matrix. A neural network circuit will implement the decision subsystem

Keywords

CMOS integrated circuits; computer vision; mixed analogue-digital integrated circuits; neural chips; object detection; real-time systems; APS CMOS matrix; decision subsystem; discrete systems; image matrix; image processing systems; neural network circuit; object detection; object localization; reading process; real-time vision integrated system; Biological system modeling; CMOS technology; Data mining; Image processing; Image segmentation; Integrated circuit technology; Machine vision; Object detection; Real time systems; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Design of Mixed-Mode Integrated Circuits and Applications, 1999. Third International Workshop on

Conference_Location

Puerto Vallarta

Print_ISBN

0-7803-5588-1

Type

conf

DOI

10.1109/MMICA.1999.833613

Filename

833613