Real time tracking multiple YUV 24-bit color objects with 8-bit MCU-based embedded vision system

Hoang Nam Nguyen*, An-Chen Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We propose a novel framework in which simple and suitable hardware design accompanied with effective software algorithm to boost the performance of an 8-bit MCU-based embedded vision system to the level of a PC-based one. Our goal is to build a small and low cost 8-bit MCU-based embedded vision system in the form of an intelligent sensor to track multiple YUV 24-bit color objects in real time. Our system uses Atmel AVR 8-bit microcontroller ATmega64, which was connected directly to the C3088 camera module using the Omnivision OV6620 CMOS image sensor, eliminating the need of a frame-grabber. It is a functioning vision system, with a well-defined interface that is accessible through a standard serial port, providing high-level, post-processed image information to a primary system (PC, another microcontroller, etc.).

Original languageEnglish
Title of host publication2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
Pages160-164
Number of pages5
DOIs
StatePublished - 1 Dec 2009
Event2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009 - Kaohsiung, Taiwan
Duration: 7 Dec 20099 Dec 2009

Publication series

Name2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009

Conference

Conference2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
Country/TerritoryTaiwan
CityKaohsiung
Period7/12/099/12/09

Keywords

  • Computer vision
  • Embedded system
  • Image segmentation
  • Microcontroller
  • Tracking

Fingerprint

Dive into the research topics of 'Real time tracking multiple YUV 24-bit color objects with 8-bit MCU-based embedded vision system'. Together they form a unique fingerprint.

Cite this