Home Alone Faint Detection Surveillance System Using Thermal Camera

Wong, Wing‐Han; Lim, Hong Liang; Loo, Chu Kiong; Lim, W. L.

doi:10.1109/iccrd.2010.163

Cited by 36 publications

(27 citation statements)

References 4 publications

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“…The system gives an alarm in case of a fall detected, or in the case of inactivity over a long time period. [190] also proposes a fall detection system for private homes by analysing the shape of the detected object. In [94] a fall detection system for bathrooms are proposed, using a thermal sensor mounted above the toilet.…”

Section: Detection and Tracking Of Humansmentioning

confidence: 99%

Thermal cameras and applications: a survey

Gade

Moeslund

2013

Machine Vision and Applications

595

269

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Thermal cameras are passive sensors that capture the infrared radiation emitted by all objects with a temperature above absolute zero. This type of camera was originally developed as a surveillance and night vision tool for the military, but recently the price has dropped, significantly opening up a broader field of applications. Deploying this type of sensor in vision systems eliminates the illumination problems of normal greyscale and RGB cameras.This survey provides an overview of the current applications of thermal cameras. Applications include animals, agriculture, buildings, gas detection, industrial, and military applications, as well as detection, tracking, and recognition of humans. Moreover, this survey describes the nature of thermal radiation and the technology of thermal cameras.

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Section: Detection and Tracking Of Humansmentioning

confidence: 99%

Thermal cameras and applications: a survey

Gade

Moeslund

2013

Machine Vision and Applications

595

269

View full text Add to dashboard Cite

show abstract

“…Recently, thermal imaging has been investigated on its physical traits, such as material properties [2], thermal reflection [11], and has become favorable for various applications, such as surveillance systems [13], security systems [9], and human-computer interactive systems [7,8]. In these systems, a thermal camera not only detects the object but also traces heat signatures left behind by body parts touching a surface.…”

Section: Introductionmentioning

confidence: 99%

Thermal handprint analysis for forensic identification using Heat-Earth Mover's Distance

Cho

Lin

Song

et al. 2016

2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)

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In recent years, handprint-based recognition system has been widely applied in forensic science. However, existing identification systems are nearly based on the handprints that could be easily prevented. In contrast to earlier works, we exploit the thermal handprint dissimilarity measure, called Heat-Earth Mover's Distance (HEMD). It is designed to classify heat-based handprints that can be obtained even when the subject wears a glove.Our objective is to develop a system that performs a forensic identification using heat-based handprints 1. Thermal handprints made without the glove 2. Thermal handprint made with the glove Existing forensic identification systems:1. DNA fingerprinting (blood, skin, hair, saliva) uses a length of the strands of the DNA molecules with repeating base pair patterns by restricting fragment length polymorphism (RFLP) 2. Odor analysis uses a chemical analysis of perfume components by gas chromatography (GC) 3. Voice analysis using Gaussian mixture speaker models achieved an accuracy of 82.8% (Reynolds et al). 4. Fingerprint / handprint uses a minutiae-based structural matching. Previously, handprint-based verification system made by integrating hand geometry feature and fingerprint feature achieved an accuracy of 97% (Yan et al). when acceptance error and rejection error become equal. The lower the EER, the higher the accuracy. Relatively low EER of SH indicates that SH is more stable than using GH Figure 5. our task is to transport the points from the target X to training Y with the least cost. Second equation allows the overall weight of points in X to be equal to the overall weight of points in Y. Thus, weight normalization is not needed. Figure 2.Limitations:

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“…Compared to the literature [1], the proposed approach detects faint person by tracking method. On the one hand, Kalman filter can successfully predict object state in the next frame.…”

Section: Experimental and Evaluationmentioning

confidence: 99%

“…An emergency medical treatment for fainting largely depends on the response and rescue time. Therefore, detection of such incidents is very important in order to have the immediate treatment for this population [1].…”

Section: Introductionmentioning

confidence: 99%

A Robust Home Alone Faint Detection Based on Wireless Sensor Networks

Wang

2015

International Journal of Distributed Sensor Networks

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Target detection and tracking are one of the fundamental problems for wireless sensor networks and play an important role in the safety field. Faint detection is an important problem for the elderly people or patients or even pregnant women. It has wide application in current society. This paper proposed a method to collect information about the behavior and position of faint event in the sensing environment. This method detects and tracks faint person by combining Kalman filter and Camshift tracking algorithm. Experiments showed that the method yields good detection and tracking performance in complex environments.

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Home Alone Faint Detection Surveillance System Using Thermal Camera

Cited by 36 publications

References 4 publications

Thermal cameras and applications: a survey

Thermal cameras and applications: a survey

Thermal handprint analysis for forensic identification using Heat-Earth Mover's Distance

A Robust Home Alone Faint Detection Based on Wireless Sensor Networks

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