Development of privacy-preserving sensor for person detection

Nakashima, Shota; Kitazono, Yuhki; Zhang, Lifeng; Serikawa, Seiichi

doi:10.1016/j.sbspro.2010.01.038

Cited by 19 publications

(10 citation statements)

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“…It is hard to identify the differences between regular cameras and privacy preservation cameras. Nakashima et al [ 10 ] developed a privacy preservation sensor for person detection to identify the person’s state and position without capturing and images.…”

Section: Cmos Image Sensor Applicationsmentioning

confidence: 99%

CMOS Image Sensors in Surveillance System Applications

Sukhavasi

Elleithy

Abuzneid

et al. 2021

Sensors

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Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance systems, aerial surveillance in war zones, Earth environmental surveillance by satellites in space monitoring, agricultural monitoring using wireless sensor networks and internet of things and driver assistance in automotive fields. This paper presents an overview of CMOS image sensor-based surveillance applications over the last decade by tabulating the design characteristics related to image quality such as resolution, frame rate, dynamic range, signal-to-noise ratio, and also processing technology. Different models of CMOS image sensors used in all applications have been surveyed and tabulated for every year and application.

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Section: Cmos Image Sensor Applicationsmentioning

confidence: 99%

CMOS Image Sensors in Surveillance System Applications

Sukhavasi

Elleithy

Abuzneid

et al. 2021

Sensors

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“…[7] proposed a system using thermal motion sensors that enables two-person motion tracking in a room. [45] used a line sensor and cylindrical lens to detect a person's position and movement. [53] controlled the light-transport to shadow sensitive regions, removing data-utility in those areas.…”

Section: Related Workmentioning

confidence: 99%

“…1(II). Finding the k − 1 neighbors and 2D translation/scaling alignment, between the target face and the k − 1 displayed faces, is achieved using the two line sensors with cylindrical lenses, which have been shown to be privacy preserving [45]. The scale and position of the target face is found by identifying local extrema of the intensity profiles as shown in Fig.…”

Section: Optical K-anonymitymentioning

confidence: 99%

“…This allows us to attenuate sensitive information while capturing exactly the portion of the signal that is relevant to a particular vision task. In this sense, we seek to generalize the idea of privacy preserving optics beyond specialized efforts (cylindrical lenses [45], thermal motion sensors [7]). We demonstrate privacy preserving optics that enable accurate depth sensing, full-body motion tracking, multiple people tracking, blob detection and face recognition.…”

Section: Introductionmentioning

confidence: 99%

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Privacy preserving optics for miniature vision sensors

Pittaluga

Koppal

2015

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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The next wave of micro and nano devices will create a world with trillions of small networked cameras. This will lead to increased concerns about privacy and security. Most privacy preserving algorithms for computer vision are applied after image/video data has been captured. We propose to use privacy preserving optics that filter or block sensitive information directly from the incident lightfield before sensor measurements are made, adding a new layer of privacy. In addition to balancing the privacy and utility of the captured data, we address trade-offs unique to miniature vision sensors, such as achieving high-quality field-of-view and resolution within the constraints of mass and volume. Our privacy preserving optics enable applications such as depth sensing, full-body motion tracking, people counting, blob detection and privacy preserving face recognition. While we demonstrate applications on macroscale devices (smartphones, webcams, etc.) our theory has impact for smaller devices.

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“…(Nakashima et al, 2010). Na pesquisa de (Sixsmith;Johnson, 2004), que acompanhou 28 pessoas com idades entre 65 e 82 anos, a maioria dos participantes preferiu imagens térmicas do que imagens de câmeras RGB com relação à preservação da privacidade.…”

Section: Privacidadeunclassified

Reconhecimento De Posturas Humanas Preservando a Privacidade: Um Estudo De Caso Usando Um Sensor Térmico De Baixa Resolução

PONTES¹

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Silva Pontes, Bruno; Fuks, Hugo (Advisor). Human Posture Recognition Preserving Privacy: A case study using a low resolution array thermal sensor. Rio de Janeiro, 2016. 82p. MSc. Dissertation -Departamento de Informática, Pontifícia Universidade Católica do Rio de Janeiro.Postures recognition is one of the human sensing challenges, that helps ambient assisted livings in people accompanying. On the other hand, these ambients assist doctors in the diagnosis of their patients' health, mainly through activities of daily livings real time recognition, which is seen in the medical field as one of the best ways to anticipate critical health situations. In addition, the world's population aging, lack of hospital resources to meet all people and increased health care costs drive the development of systems to support ambient assisted livings. Preserving privacy in these ambients monitored by sensors is a critical factor for user acceptance, so there is a demand for solutions that does not requires images. This work demonstrates the use of a low resolution thermal array sensor in human sensing, showing that it is feasible to detect the presence and to recognize human postures, using only the data of this sensor.

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Development of privacy-preserving sensor for person detection

Cited by 19 publications

References 0 publications

CMOS Image Sensors in Surveillance System Applications

CMOS Image Sensors in Surveillance System Applications

Privacy preserving optics for miniature vision sensors

Reconhecimento De Posturas Humanas Preservando a Privacidade: Um Estudo De Caso Usando Um Sensor Térmico De Baixa Resolução

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