The Open UniversitySkip to content

Object analysis with visual sensors and RFID

Karmakar, Gour C.; Dooley, Laurence S.; Karmakar, Nemai C. and Kamruzzaman, Joarder (2012). Object analysis with visual sensors and RFID. In: Karmakar, Nemai Chandra ed. Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging. Hershey, PA, USA: IGI Global, pp. 234–250.

Full text available as:
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB)
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


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 localization, tracking, and object and activity recognition, together with some future research directions in this burgeoning field.

Item Type: Book Section
Copyright Holders: 2012 IGI Global
ISBN: 1-4666-1616-4, 978-1-4666-1616-5
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 31013
Depositing User: Laurence Dooley
Date Deposited: 23 May 2012 14:50
Last Modified: 29 May 2020 04:55
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU