Object analysis with visual sensors and RFID

Gour Chandra Karmakar, Lawrence Brian Dooley, Nemai Chandra Karmakar, Joarder Kamruzzaman

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Abstract

Object analysis using visual sensors is one of the most important and challenging issues in computer vision research due principally to difficulties in object representation, segmentation, and recognition within a general framework. This has motivated researchers to investigate exploiting the potential identification capability of RFID (radio frequency identification) technology for object analysis. RFID however, has a number of fundamental limitations including a short sensing range, missing tag detection, not working for all objects, and some items being just too small to be tagged. This has meant applying RFID alone has not been entirely effective in computer vision applications. To address these restrictions, object analysis approaches based on a combination of visual sensors and RFID have recently been successfully introduced. This chapter presents a contemporary review on these object analysis techniques for localisation, tracking, and object and activity recognition, together with some future research directions in this burgeoning field.
Original languageEnglish
Title of host publicationChipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging
EditorsNemai Chandra Karmakar
Place of PublicationHershey PA USA
PublisherInformation Science Reference
Pages234 - 250
Number of pages17
ISBN (Electronic)9781466616172
ISBN (Print)9781466616165
DOIs
Publication statusPublished - 2012

Cite this

Karmakar, G. C., Dooley, L. B., Karmakar, N. C., & Kamruzzaman, J. (2012). Object analysis with visual sensors and RFID. In N. C. Karmakar (Ed.), Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging (pp. 234 - 250). Hershey PA USA: Information Science Reference. https://doi.org/10.4018/978-1-4666-1616-5.ch012
Karmakar, Gour Chandra ; Dooley, Lawrence Brian ; Karmakar, Nemai Chandra ; Kamruzzaman, Joarder. / Object analysis with visual sensors and RFID. Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging. editor / Nemai Chandra Karmakar. Hershey PA USA : Information Science Reference, 2012. pp. 234 - 250
@inbook{ef3b4a6dc30443c49c469de8d599c560,
title = "Object analysis with visual sensors and RFID",
abstract = "Object analysis using visual sensors is one of the most important and challenging issues in computer vision research due principally to difficulties in object representation, segmentation, and recognition within a general framework. This has motivated researchers to investigate exploiting the potential identification capability of RFID (radio frequency identification) technology for object analysis. RFID however, has a number of fundamental limitations including a short sensing range, missing tag detection, not working for all objects, and some items being just too small to be tagged. This has meant applying RFID alone has not been entirely effective in computer vision applications. To address these restrictions, object analysis approaches based on a combination of visual sensors and RFID have recently been successfully introduced. This chapter presents a contemporary review on these object analysis techniques for localisation, tracking, and object and activity recognition, together with some future research directions in this burgeoning field.",
author = "Karmakar, {Gour Chandra} and Dooley, {Lawrence Brian} and Karmakar, {Nemai Chandra} and Joarder Kamruzzaman",
year = "2012",
doi = "10.4018/978-1-4666-1616-5.ch012",
language = "English",
isbn = "9781466616165",
pages = "234 -- 250",
editor = "Karmakar, {Nemai Chandra}",
booktitle = "Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging",
publisher = "Information Science Reference",
address = "Netherlands",

}

Karmakar, GC, Dooley, LB, Karmakar, NC & Kamruzzaman, J 2012, Object analysis with visual sensors and RFID. in NC Karmakar (ed.), Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging. Information Science Reference, Hershey PA USA, pp. 234 - 250. https://doi.org/10.4018/978-1-4666-1616-5.ch012

Object analysis with visual sensors and RFID. / Karmakar, Gour Chandra; Dooley, Lawrence Brian; Karmakar, Nemai Chandra; Kamruzzaman, Joarder.

Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging. ed. / Nemai Chandra Karmakar. Hershey PA USA : Information Science Reference, 2012. p. 234 - 250.

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

TY - CHAP

T1 - Object analysis with visual sensors and RFID

AU - Karmakar, Gour Chandra

AU - Dooley, Lawrence Brian

AU - Karmakar, Nemai Chandra

AU - Kamruzzaman, Joarder

PY - 2012

Y1 - 2012

N2 - Object analysis using visual sensors is one of the most important and challenging issues in computer vision research due principally to difficulties in object representation, segmentation, and recognition within a general framework. This has motivated researchers to investigate exploiting the potential identification capability of RFID (radio frequency identification) technology for object analysis. RFID however, has a number of fundamental limitations including a short sensing range, missing tag detection, not working for all objects, and some items being just too small to be tagged. This has meant applying RFID alone has not been entirely effective in computer vision applications. To address these restrictions, object analysis approaches based on a combination of visual sensors and RFID have recently been successfully introduced. This chapter presents a contemporary review on these object analysis techniques for localisation, tracking, and object and activity recognition, together with some future research directions in this burgeoning field.

AB - Object analysis using visual sensors is one of the most important and challenging issues in computer vision research due principally to difficulties in object representation, segmentation, and recognition within a general framework. This has motivated researchers to investigate exploiting the potential identification capability of RFID (radio frequency identification) technology for object analysis. RFID however, has a number of fundamental limitations including a short sensing range, missing tag detection, not working for all objects, and some items being just too small to be tagged. This has meant applying RFID alone has not been entirely effective in computer vision applications. To address these restrictions, object analysis approaches based on a combination of visual sensors and RFID have recently been successfully introduced. This chapter presents a contemporary review on these object analysis techniques for localisation, tracking, and object and activity recognition, together with some future research directions in this burgeoning field.

UR - http://dx.doi.org/10.4018/978-1-4666-1616-5.ch012

U2 - 10.4018/978-1-4666-1616-5.ch012

DO - 10.4018/978-1-4666-1616-5.ch012

M3 - Chapter (Book)

SN - 9781466616165

SP - 234

EP - 250

BT - Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging

A2 - Karmakar, Nemai Chandra

PB - Information Science Reference

CY - Hershey PA USA

ER -

Karmakar GC, Dooley LB, Karmakar NC, Kamruzzaman J. Object analysis with visual sensors and RFID. In Karmakar NC, editor, Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging. Hershey PA USA: Information Science Reference. 2012. p. 234 - 250 https://doi.org/10.4018/978-1-4666-1616-5.ch012