RFID &amp;amp; vision based indoor positioning and identification system

Wang, Ching-Sheng; Cheng, Li-Chieh

doi:10.1109/iccsn.2011.6014945

Cited by 15 publications

(8 citation statements)

References 11 publications

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“…Wang et al [10], [11] have designed a system for realtime tracking and positioning of indoor persons by successfully combining image with RFID technologies. However, it is found in experimental experience that there remain person overlapping and shielding problems, and the results of positioning are likely to be influenced by body height and type, thus, the implementation effect requires improvement.…”

Section: Related Workmentioning

confidence: 99%

RFID-based and Kinect-based indoor positioning system

Wang

Chen

2014

2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace &Amp; Elec

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The research of indoor positioning is rapidly increasing in recent years, and most researchers have focused on RFID technology in indoor positioning; It is difficult to deal with the RFID positioning method, due to RFID is restricted by the disturbance of wireless signals. Therefore, this paper proposes an indoor location system combined with active RFID and Kinect. Based on the identification and positioning functions of RFID, and the effective object extraction ability of Kinect, our system can analyze the identification and position of persons accurately and effectively.

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Section: Related Workmentioning

confidence: 99%

RFID-based and Kinect-based indoor positioning system

Wang

Chen

2014

2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace &Amp; Elec

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“…Wang and Cheng [4] present an indoor positioning and identification system consisting of a camera, a RFID reader and a group of fixed RFID tags. By analyzing signal strength of RFID tags and background of video images, the system locates objects and extracts foreground images of objects in the scene.…”

Section: A Visual Object Tracking In Iotmentioning

confidence: 99%

“…With item-level traceability provided by RFID, IoT significantly minimizes the possibility of product shrinkage in supply chain management, including misplaced items and damaged products [3]. Furthermore, a significant number of researchers integrate RFID technology into video surveillance systems to improve the accuracy of object identification and positioning [4]- [8]. They suggest that the combination of RFID and video technologies is the key to successful analysis of moving objects.…”

Section: Introductionmentioning

confidence: 98%

Video Summarization for Object Tracking in the Internet of Things

Luo

2014

2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies

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Object tracking in the Internet of Things (IoT) has become a hot topic over the past ten years. Currently, the integration of video and radio-frequency identification (RFID) technology plays a crucial role in item-level activity recognition. Various techniques and applications have been proposed for visual object tracking. However, identifying semantic features of item-level objects in huge size of video content is a non-trivial task, especially in supply chain management. To alleviate this problem, this paper presents a novel method that applies IoT information to facilitate video summarization. Differing from common video summarization techniques, we use IoT information to select keyframes of the video content during the background model establishment. Then we match other keyframes with the background to extract important features. Finally, a compact summarization image for queried objects is generated according to a clustering analysis. We have also performed experiments to confirm the effectiveness of the proposed work.

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“…Расстояние от базовой станции до объекта позиционирования определяется на основе методов RSSI, AOA, TDOA [1,10,34], в качестве алгоритмов позиционирования используются алгоритмы дактилоскопической идентификации и приближения [10]. Некоторые IPS на базе RFID используют алгоритмы роевого интеллекта, в частности алгоритм роя частиц [35].…”

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“…RFID может объединяться с другими технологиями в целях повышения эффективности IPS [34,36]. В [34] авторы представляют гибридную IPS на базе совмещения активной технологии RFID и машинного зрения. Технология RFID здесь используется для идентификации объекта и определения его начальных координат.…”

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Radiofrequency Technologies of Local Positioning in Healthcare

Брагин

Pospelova

Cherepanova

et al. 2020

Izv. vysš. učebn. zaved. Ross., Radioèlektron.

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Introduction. Localization of objects position in closed space plays an important role in many areas of human activity, including medicine. Using indoor-positioning technologies as a part of telemedicine systems allows one to improve the quality of medical care and to reduce mortality of patients. Therefore, indoor-positioning technologies contribute to achieve the goals outlined in the Russian Federation government`s program "Healthcare development". Aim. To study the applicability of modern radiofrequency technologies for localization of patients inside a hospital building. Materials and methods. Scientific sources devoted to indoor-positioning based on radiofrequency technologies were analyzed. The methods used included: - bibliographic retrieval; - selection and verification of sources based on their relevance; - analysis of sources by methods of deconstruction and comparative analysis . Results. The result of the analysis indicated that radiofrequency positioning technologies allow one to locate objects using radio waves properties. The disadvantage of the technology is the penetration of radio signal through walls and floors. Given this, it is necessary to use complex algorithms to detect an object with accuracy to a specific room. Despite this disadvantage, radiofrequency technologies can be used for positioning in medical facilities since they are easy in deployment and service. Also, they are used in ready-made commercial solutions. ZigBee technology is an exception because it does not allow one to track moving objects in real-time. Conclusion. Based on the study it was concluded that BLE technology is the most suitable for indoor-positioning in medical facilities. It is energy-efficient, it has sufficiently fast data transfer rate, good communication radius and a large range of ready-made communication equipment. It is also worth noting that most wireless medical sensors exchange data via the BLE interface.

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RFID & vision based indoor positioning and identification system

Cited by 15 publications

References 11 publications

RFID-based and Kinect-based indoor positioning system

RFID-based and Kinect-based indoor positioning system

Video Summarization for Object Tracking in the Internet of Things

Radiofrequency Technologies of Local Positioning in Healthcare

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