Vision based surveillance system for detection of human fall

Basavaraj, G M; Kusagur, Ashok

doi:10.1109/rteict.2017.8256851

Cited by 14 publications

(8 citation statements)

References 6 publications

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“…The techniques grouped in this Section for decreasing noise are numerous and range from Gaussian smoothing used in [ 31 ] to the morphological operations executed in [ 17 , 31 , 74 ] or [ 24 ]. They are introduced in subsequent Section as a part of the foreground segmentation process.…”

Section: Discussionmentioning

confidence: 99%

“…This technique is easy and powerful; however, it is extremely sensitive to light changes. To mitigate this flaw, the system described in [ 31 ], where the background is also supposed stable, a median throughout time is calculated for every pixel position in every color channel. Then, it is directly subtracted from the observed image frame-by-frame.…”

Section: Discussionmentioning

confidence: 99%

“…Despite everything, the obtained product still contains a substantial amount of noise associated with shadows and illumination. To reduce it, morphological operators can be used as in [ 17 , 24 , 31 , 74 ]. Dilation and/or erosion operations are performed by probing the image at all possible places with a structuring element.…”

Section: Discussionmentioning

confidence: 99%

“…This way, after background subtraction, features used for characterization in [ 31 ] and [ 14 ] are silhouettes eccentricity, orientation and acceleration of the ellipse surrounding the human shape.…”

Section: Discussionmentioning

confidence: 99%

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Comprehensive Review of Vision-Based Fall Detection Systems

Gutiérrez

Rodríguez²,

Martín

2021

Sensors

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Vision-based fall detection systems have experienced fast development over the last years. To determine the course of its evolution and help new researchers, the main audience of this paper, a comprehensive revision of all published articles in the main scientific databases regarding this area during the last five years has been made. After a selection process, detailed in the Materials and Methods Section, eighty-one systems were thoroughly reviewed. Their characterization and classification techniques were analyzed and categorized. Their performance data were also studied, and comparisons were made to determine which classifying methods best work in this field. The evolution of artificial vision technology, very positively influenced by the incorporation of artificial neural networks, has allowed fall characterization to become more resistant to noise resultant from illumination phenomena or occlusion. The classification has also taken advantage of these networks, and the field starts using robots to make these systems mobile. However, datasets used to train them lack real-world data, raising doubts about their performances facing real elderly falls. In addition, there is no evidence of strong connections between the elderly and the communities of researchers.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Comprehensive Review of Vision-Based Fall Detection Systems

Gutiérrez

Rodríguez²,

Martín

2021

Sensors

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“…Depending on the techniques used, we can find systems for monitoring people and/or detect falls that use acoustic sensors [6][7][8][9], video camera and image processing [10][11][12][13] or even sensors attached to the human body [14][15][16].…”

Section: State Of the Artmentioning

confidence: 99%

System for Monitoring People with Disabilities in the Event of an Accident using Mobile Terminals

Fanca¹,

Cujerean²,

Puscasiu³

et al. 2019

IJACSA

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Being in the speed century, people around the world are busy scheduling every day and therefore, it is impossible to spend enough time with the elderly and people with disabilities or people who have a chronic illness. These persons need a lot more attention and care because they cannot cope with the daily activities like a healthy person would. Daily monitoring and assistance of elderly or disabled people is a very important task, both in the current activity, or, especially when emergencies can occur. Fortunately, we can easily use today's technologies, which are constantly developing to be able to monitor them remotely. This paper tries to find a solution to reduce cases of fatality due to accidents, by using advanced technologies of today, e.g. smartphones, fast communications. The use of these technologies can provide permanent monitoring of the elderly and persons with disabilities, without bounding their mobility and without affecting their quality of life. In this way, if emergency situations arise for the elderly or people with disabilities or chronic diseases, measures can be taken as soon as possible. The development of a mobile application capable to monitor the occurrence of accidents for the above-mentioned persons is obviously a help granted to the doctors involved in ensuring their health. Thus, the main objective of the application is to detect the accidental falls of the persons in the shortest possible time. Another objective is to provide an application that runs in the background of the mobile operating system, using as little as possible the power supply.

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A Novel Optimization Algorithm for Smart Video Surveillance System and Change Object Detection

Siddiqui,

Siddiqi

2023

Communications in Computer and Information Science

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Vision based surveillance system for detection of human fall

Cited by 14 publications

References 6 publications

Comprehensive Review of Vision-Based Fall Detection Systems

Comprehensive Review of Vision-Based Fall Detection Systems

System for Monitoring People with Disabilities in the Event of an Accident using Mobile Terminals

A Novel Optimization Algorithm for Smart Video Surveillance System and Change Object Detection

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