Fisher’s linear discriminant ratio based threshold for moving human detection in thermal video

Sharma, Lavanya; Yadav, Dileep Kumar; Singh, Annapurna

doi:10.1016/j.infrared.2016.07.012

Cited by 41 publications

(10 citation statements)

References 27 publications

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“…At the point when a client pushes toward distributed computing, they have a sensible awareness of potential security and hazard related with distributed computing. Due to the cloud's temperament of sharing assets, identity management and privacy access control are the main concerns of the cloud security, [1,2,11,15,19,20,25]. Cloud security is the set of rules and regulatory compliances to protect the user's data and applications simultaneously along with the cloud infrastructure therefore making it liable to store data in encrypted form.…”

Section: Security-related Threats To Cloud Computingmentioning

confidence: 99%

Cloud Computing: Elementary Threats and Embellishing Countermeasures for Data security

2019

ijrte

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Internet offers bunch of services and resources, one of them is cloud computing. The centers which provide these services are located all around the world and this service has its own mainstream pros and cons. Cloud computing consists of taking cloud services from the internet and taking them away from the considerable firewall. This paper aims in enhancing specifications of cloud computing, review its security threats and address security concerns along with the cloud operations that needs security. Also, this paper addresses basic security models, qualities and prerequisites for cloud Computing

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Section: Security-related Threats To Cloud Computingmentioning

confidence: 99%

Cloud Computing: Elementary Threats and Embellishing Countermeasures for Data security

2019

ijrte

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“…5. Perceiving dangers to purchaser security and protection is just the initial step to settling long haul vulnerabilities that quickly rising new innovations as AR make [32,37,[38][39][40].…”

Section: Current Solutions To Ar Problemsmentioning

confidence: 99%

Recent Advancements of Augmented Reality in Real Time Applications

2019

ijrte

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Augmented Reality (AR) is an advanced technology that improves users view of interactivity with the present reality by adding virtual objects in it and it is the most natural way to interface with your digital world. This paper presents a survey about real-time applications, commonly used technologies, various open challenges, possible set of solution provided by several researchers and academicians. This paper also provides future of Augmented reality in various areas of artificial intelligence.

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“…Eq. (7) indicates the presence of circular dependencies between the variables that belong to different partitions. Thus, estimating the optimal distribution over all variables suggests the exploitation of an iterative process such as the EM algorithm (see Section IV).…”

Section: B Distribution Approximation Through Variational Inferencementioning

confidence: 99%

“…To estimate q(Y ), we require to rewrite the right hand of Eq. (7), that is, the joint distribution p(X, Y ), as a product p(X, Y ) = p(X|Z, µ, τ )p(Z| )p( )p(µ, τ ).…”

Section: A Factorized Form Of the Joint Distributionmentioning

confidence: 99%

“…For many high level applications, either they use visualoptical videos [3], [4] or thermal data [1], [5], [6], [7], the task of background subtraction constitutes a key component for locating moving objects [8]. The most common approach to model the background is to use mixtures of Gaussians, the number of which is assumed to be a priori known.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Data-Driven Background Subtraction Algorithm for In-Camera Acceleration in Thermal Imagery

Makantasis

Nikitakis

Doulamis

et al. 2018

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-Detection of moving objects in videos is a crucial step towards successful surveillance and monitoring applications. A key component for such tasks is called background subtraction and tries to extract regions of interest from the image background for further processing or action. For this reason, its accuracy and real-time performance is of great significance. Although, effective background subtraction methods have been proposed, only a few of them take into consideration the special characteristics of thermal imagery. In this work, we propose a background subtraction scheme, which models the thermal responses of each pixel as a mixture of Gaussians with unknown number of components. Following a Bayesian approach, our method automatically estimates the mixture structure, while simultaneously it avoids over/under fitting. The pixel density estimate is followed by an efficient and highly accurate updating mechanism, which permits our system to be automatically adapted to dynamically changing operation conditions. We propose a reference implementation of our method in reconfigurable hardware achieving both adequate performance and low power consumption. Adopting a High Level Synthesis design, demanding floating point arithmetic operations are mapped in reconfigurable hardware; demonstrating fastprototyping and on-field customization at the same time.

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Fisher’s linear discriminant ratio based threshold for moving human detection in thermal video

Cited by 41 publications

References 27 publications

Cloud Computing: Elementary Threats and Embellishing Countermeasures for Data security

Cloud Computing: Elementary Threats and Embellishing Countermeasures for Data security

Recent Advancements of Augmented Reality in Real Time Applications

Data-Driven Background Subtraction Algorithm for In-Camera Acceleration in Thermal Imagery

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