Surveillance Systems for Smart Homes: A Comparative Survey

Patrick, Ryan; Bourbakis, Nikolaos G.

doi:10.1109/ictai.2009.93

Cited by 9 publications

(3 citation statements)

References 12 publications

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“…O trabalho tem como premissas os elementos considerados importantes para um sistema de vigilância, tais como: custo, área de alcance, tempo de vida, confiabilidade, entre outras. Por fim, constataram que nenhum sistema é ideal, dependendo do tamanho e formato do objeto procurado [Patrick and Bourbakis 2009].…”

Section: Trabalhos Correlatosunclassified

Arcabouço de Vigilância Inteligente para Operações de Compras Eletrônicas no Contexto de Smart Cities

Santos¹,

Melo²,

Calonego³

2019

Anais Da X Escola Regional De Informática De Mato Grosso (ERI-MT 2019)

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Intelligent surveillance systems aim to identify suspicious activity beyond the observation of people and environments, as computer networks and computer systems remain vulnerable to malicious actions. The intelligent surveillance framework (Arcabouço de Vigilância Inteligente - AVI) uses the cognitive construction of a user profile and the recognition of devices for electronic purchases, aiming to ensure the authenticity of transactions for computer systems in networked interconnected. The AVI assessment shows that it is effective with respect to user authenticity and that the smart surveillance model in purchasing operations matches the expectation of vulnerability reduction.

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Section: Trabalhos Correlatosunclassified

Arcabouço de Vigilância Inteligente para Operações de Compras Eletrônicas no Contexto de Smart Cities

Santos¹,

Melo²,

Calonego³

2019

Anais Da X Escola Regional De Informática De Mato Grosso (ERI-MT 2019)

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“…Our survey in [3] focuses on video surveillance in smart homes around the central problem of monitoring the location of items that an occupant may forget the location of. This problem has been previously worked on through the use of radio frequency identification (RFID) tags, as seen for example in the work of Nguyen et al in [15], but we looked primarily at systems that used vision to track items within a home.…”

Section: Iivideo Surveillance In Smart Homesmentioning

confidence: 99%

Surveillance Issues in a Smart Home Environment

Tsitsoulis

Patrick

Bourbakis

2012

2012 IEEE 24th International Conference on Tools With Artificial Intelligence

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A surveillance system f or assisting the elderly in remaining independent in their f amiliar environment is one of the subjects interest in recent healthcare studies. When mature, it is expected that this system will have the ability to track objects that a resident may lose periodically, detect f alls within the home, alert f amily members or healthcare prof essionals to abnormal behaviors. This paper addresses the early stages and issues of the development of such a system, the physical characteristics of the system that is being designed, early results, and guidance on the f uture work that will have to be completed in the f uture.

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“…to monitor the flows of people and transport [1]. However, nowadays such systems are commonly used in the home [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Canny-Based Method of Image Contour Segmentation

Zahorodnia¹,

Pigovsky²,

Bykovyy³

2016

IJC

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The paper presents modification of the image contour segmentation method based on Canny method. A distinctive feature of proposed approach is the usage of wavelet-functions as underlining transformation. It allows to obtain a sequence of hierarchical object contour preparations with an adjusted detailing. This approach is a part of the object recognition information technology that significantly reduces the size of information processing of video surveillance system.

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Surveillance Systems for Smart Homes: A Comparative Survey

Cited by 9 publications

References 12 publications

Arcabouço de Vigilância Inteligente para Operações de Compras Eletrônicas no Contexto de Smart Cities

Arcabouço de Vigilância Inteligente para Operações de Compras Eletrônicas no Contexto de Smart Cities

Surveillance Issues in a Smart Home Environment

Canny-Based Method of Image Contour Segmentation

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