hybrid rfid systems 2016 In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID tags worn by people and correlate that to physical motion paths of individuals as measured with a 3D depth camera. $8.59
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We present ID-Match, a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of a RFID tags worn . In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID .In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID tags worn by people and correlate that to physical motion paths of individuals as measured with a 3D depth camera. We present ID-Match, a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of a RFID tags worn by people and.
In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID tags worn by people and correlate that to physical motion . Our work demonstrated the effectiveness of RFID technologies in retrieving information from roadside and other vehicles for providing reliable and affordable solutions in future driver warning systems or autonomous vehicle control systems.
In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID tags worn by people and correlate that to physical motion .ID-Match: A Hybrid Computer Vision and RFID System for Recognizing Individuals in Groups. In Jofish Kaye , Allison Druin , Cliff Lampe , Dan Morris , Juan Pablo Hourcade , editors, Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, CA, USA, May 7-12, 2016 .
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This demo presents RFind, a system that enables fine-grained RFID localization via ultra-wideband emulation. RFind operates by measuring the time-of-flight -- i.e., the time it takes the signal to travel from an antenna to an RFID tag. In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID tags worn by people and correlate that to physical motion . This paper introduces a hybrid system for vehicle access control using RFID and automatic license plate recognition (ALPR) technologies. RFID technology is proven to provide an effective solution to different tracking and localization problems.In a hybrid RFID system, ultra-high-frequency (UHF) reader-to-tag communications are combined with the UWB transceivers for localization and ranging purposes. Here, the UWB information of such a hybrid UHF-UWB architecture is exploited to reduce the ID search space of a UHF-CS decoding scheme.
In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID tags worn by people and correlate that to physical motion paths of individuals as measured with a 3D depth camera. We present ID-Match, a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of a RFID tags worn by people and. In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID tags worn by people and correlate that to physical motion . Our work demonstrated the effectiveness of RFID technologies in retrieving information from roadside and other vehicles for providing reliable and affordable solutions in future driver warning systems or autonomous vehicle control systems.
In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID tags worn by people and correlate that to physical motion .
ID-Match: A Hybrid Computer Vision and RFID System for Recognizing Individuals in Groups. In Jofish Kaye , Allison Druin , Cliff Lampe , Dan Morris , Juan Pablo Hourcade , editors, Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, CA, USA, May 7-12, 2016 .
This demo presents RFind, a system that enables fine-grained RFID localization via ultra-wideband emulation. RFind operates by measuring the time-of-flight -- i.e., the time it takes the signal to travel from an antenna to an RFID tag. In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID tags worn by people and correlate that to physical motion . This paper introduces a hybrid system for vehicle access control using RFID and automatic license plate recognition (ALPR) technologies. RFID technology is proven to provide an effective solution to different tracking and localization problems.
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