Object analysis with visual sensors and RFID
- Authors: Karmakar, Gour , Karmakar, Nemai , Dooley, Laurence , Kamruzzaman, Joarder
- Date: 2013
- Type: Text , Book chapter
- Relation: Image Processing: Concepts, Methodologies, Tools, and Applications p. 1492-1507
- Full Text: false
- Reviewed:
- Description: 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. © 2013, IGI Global.
Object analysis with visual sensors and RFID
- Authors: Karmakar, Gour , Dooley, Laurence , Karmakar, Nemai , Kamruzzaman, Joarder
- Date: 2012
- Type: Text , Book chapter
- Relation: Chipless and conventional radio frequency identification : Systems for ubiquitous tagging Chapter 12 p. 234-250
- Full Text: false
- Reviewed:
- Description: 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.
Security and privacy issues in RFID systems
- Authors: Kamruzzaman, Joarder , Azad, Arman , Karmakar, Nemai , Karmakar, Gour , Srinivasan, Bala
- Date: 2012
- Type: Text , Book chapter
- Relation: Advanced RFID Systems, Security, and Applications Chapter 2 p. 16-40
- Full Text: false
- Reviewed:
- Description: Security and privacy protection are very critical requirements for the widespread deployment of RFID technologies for commercial applications. In this chapter, the authors first present the security and privacy requirement of any commercial system, and then highlight the security and privacy threats that are unique to an RFID system. The security and privacy preserving protocols for RFID system proposed in literature are elaborately discussed, analyzing their strengths, vulnerabilities, and implementation issues. The open research challenges that need further investigation, especially with the rapid introduction of diverse RFID applications, are also presented.