A background subtraction based column-parallel analog-to-information converter for motion-triggered vision sensor

Xiaopeng Zhong, Bo Zhang, Amine Bermak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An analog-to-information converter (AIC) enables information quantization instead of signal quantization, which can reduce both quantization efforts and data bandwidth. Therefore, an AIC will relax data processing and transmission burden and improve overall power efficiency, making it attractive for wireless vision sensor networks. In this paper, we propose a background subtraction based column-parallel AIC for motion-triggered vision sensors. It features low-power and robust background subtraction for motion extraction as well as efficient information quantization. The AIC is implemented by integrating background subtraction with a successive-approximation-register and single-lope (SAR-SS) hybrid ADC using a new architecture. Targeting at scene interpretation applications, 6-bit background and 8-bit foreground are adopted. Simulation results show that vision data bandwidth and ADC power are reduced by 85.23% and 95.88% respectively when full-bit-depth motion images are required. The bandwidth reduction and the ADC power reduction can be further improved to 87.50% and 98.48% respectively if only binary motion images are needed.

Original languageEnglish
Title of host publicationISCAS 2016 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1426-1429
Number of pages4
Volume2016-July
ISBN (Electronic)9781479953400
DOIs
Publication statusPublished - 29 Jul 2016
Event2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada
Duration: 22 May 201625 May 2016

Other

Other2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
CountryCanada
CityMontreal
Period22/5/1625/5/16

Fingerprint

Bandwidth
Sensors
Data communication systems
Sensor networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Zhong, X., Zhang, B., & Bermak, A. (2016). A background subtraction based column-parallel analog-to-information converter for motion-triggered vision sensor. In ISCAS 2016 - IEEE International Symposium on Circuits and Systems (Vol. 2016-July, pp. 1426-1429). [7527518] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2016.7527518

A background subtraction based column-parallel analog-to-information converter for motion-triggered vision sensor. / Zhong, Xiaopeng; Zhang, Bo; Bermak, Amine.

ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Vol. 2016-July Institute of Electrical and Electronics Engineers Inc., 2016. p. 1426-1429 7527518.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhong, X, Zhang, B & Bermak, A 2016, A background subtraction based column-parallel analog-to-information converter for motion-triggered vision sensor. in ISCAS 2016 - IEEE International Symposium on Circuits and Systems. vol. 2016-July, 7527518, Institute of Electrical and Electronics Engineers Inc., pp. 1426-1429, 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016, Montreal, Canada, 22/5/16. https://doi.org/10.1109/ISCAS.2016.7527518
Zhong X, Zhang B, Bermak A. A background subtraction based column-parallel analog-to-information converter for motion-triggered vision sensor. In ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Vol. 2016-July. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1426-1429. 7527518 https://doi.org/10.1109/ISCAS.2016.7527518
Zhong, Xiaopeng ; Zhang, Bo ; Bermak, Amine. / A background subtraction based column-parallel analog-to-information converter for motion-triggered vision sensor. ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Vol. 2016-July Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1426-1429
@inproceedings{eb63b7de62754f848cb317954c32db5b,
title = "A background subtraction based column-parallel analog-to-information converter for motion-triggered vision sensor",
abstract = "An analog-to-information converter (AIC) enables information quantization instead of signal quantization, which can reduce both quantization efforts and data bandwidth. Therefore, an AIC will relax data processing and transmission burden and improve overall power efficiency, making it attractive for wireless vision sensor networks. In this paper, we propose a background subtraction based column-parallel AIC for motion-triggered vision sensors. It features low-power and robust background subtraction for motion extraction as well as efficient information quantization. The AIC is implemented by integrating background subtraction with a successive-approximation-register and single-lope (SAR-SS) hybrid ADC using a new architecture. Targeting at scene interpretation applications, 6-bit background and 8-bit foreground are adopted. Simulation results show that vision data bandwidth and ADC power are reduced by 85.23{\%} and 95.88{\%} respectively when full-bit-depth motion images are required. The bandwidth reduction and the ADC power reduction can be further improved to 87.50{\%} and 98.48{\%} respectively if only binary motion images are needed.",
author = "Xiaopeng Zhong and Bo Zhang and Amine Bermak",
year = "2016",
month = "7",
day = "29",
doi = "10.1109/ISCAS.2016.7527518",
language = "English",
volume = "2016-July",
pages = "1426--1429",
booktitle = "ISCAS 2016 - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - A background subtraction based column-parallel analog-to-information converter for motion-triggered vision sensor

AU - Zhong, Xiaopeng

AU - Zhang, Bo

AU - Bermak, Amine

PY - 2016/7/29

Y1 - 2016/7/29

N2 - An analog-to-information converter (AIC) enables information quantization instead of signal quantization, which can reduce both quantization efforts and data bandwidth. Therefore, an AIC will relax data processing and transmission burden and improve overall power efficiency, making it attractive for wireless vision sensor networks. In this paper, we propose a background subtraction based column-parallel AIC for motion-triggered vision sensors. It features low-power and robust background subtraction for motion extraction as well as efficient information quantization. The AIC is implemented by integrating background subtraction with a successive-approximation-register and single-lope (SAR-SS) hybrid ADC using a new architecture. Targeting at scene interpretation applications, 6-bit background and 8-bit foreground are adopted. Simulation results show that vision data bandwidth and ADC power are reduced by 85.23% and 95.88% respectively when full-bit-depth motion images are required. The bandwidth reduction and the ADC power reduction can be further improved to 87.50% and 98.48% respectively if only binary motion images are needed.

AB - An analog-to-information converter (AIC) enables information quantization instead of signal quantization, which can reduce both quantization efforts and data bandwidth. Therefore, an AIC will relax data processing and transmission burden and improve overall power efficiency, making it attractive for wireless vision sensor networks. In this paper, we propose a background subtraction based column-parallel AIC for motion-triggered vision sensors. It features low-power and robust background subtraction for motion extraction as well as efficient information quantization. The AIC is implemented by integrating background subtraction with a successive-approximation-register and single-lope (SAR-SS) hybrid ADC using a new architecture. Targeting at scene interpretation applications, 6-bit background and 8-bit foreground are adopted. Simulation results show that vision data bandwidth and ADC power are reduced by 85.23% and 95.88% respectively when full-bit-depth motion images are required. The bandwidth reduction and the ADC power reduction can be further improved to 87.50% and 98.48% respectively if only binary motion images are needed.

UR - http://www.scopus.com/inward/record.url?scp=84983427637&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84983427637&partnerID=8YFLogxK

U2 - 10.1109/ISCAS.2016.7527518

DO - 10.1109/ISCAS.2016.7527518

M3 - Conference contribution

AN - SCOPUS:84983427637

VL - 2016-July

SP - 1426

EP - 1429

BT - ISCAS 2016 - IEEE International Symposium on Circuits and Systems

PB - Institute of Electrical and Electronics Engineers Inc.

ER -