A Study and Analysis on Pedestrian Detection and Tracking Through Rear-View Images

Lakshmi, Damineni Sree; Divya, Adusumilli; Sreedevi, Emandi; Kolagani, Ravikiran; Gottumukkala, Prasanthi; Muddana, Akhilnath

doi:10.18280/isi.280103

Cited by 2 publications

(2 citation statements)

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“…(2) Moving average filter Works to remove the high frequencies of the signal through the rate of each time using the equation [1,2].…”

Section: Data Initializationmentioning

confidence: 99%

“…Position stabilization and bridging brief positioning gaps represent prominent applications of Indoor Navigation Systems (INS), with tracking and localization of moving entities in indoor environments emerging as a significant area of research. This field boasts a plethora of applications, including location-aware computing, locating and rescuing first responders, mixed or augmented reality, 3D audio on mobile devices, and navigation assistance [1].…”

Section: Introductionmentioning

confidence: 99%

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Enhancing Indoor Navigation Accuracy with a Smartphone-Based Pedometer System

Abdulateef,

Makki

2023

ISI

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The prominence of Indoor Navigation Systems (INS) has been on an upward trajectory in recent years. While the Global Positioning System (GPS) commonly utilizes radio waves from artificial satellites for positioning information, its precision is compromised indoors due to potential radio wave obstruction by buildings. In contrast, pedometers, a critical component of INS, can provide invaluable insights into health, exercise, and user itineraries by detecting the number of steps and pinpointing optimal indoor positions. This paper proposes the development of a high-accuracy pedometer system. The proposed tracking system capitalizes on data harvested from accelerometers, sensors integrated into mobile devices, to furnish indoor tracking predicated on a straightforward pedometer approach. Online measurements and tests were conducted in residential settings, and the recorded tests were subsequently simulated offline via MATLAB. The performance of the system was evaluated in a real-world indoor residential scenario using an iPhone6 mobile device, with the discussion encompassing potential usability aspects of the approach. The devised system mitigated the drift of sensor readings by amalgamating the data from the gyroscope and accelerometer. The experimental results revealed a percentage error of 4.33% for the proposed method, translating to an error of 0.65 meters from an average walking distance of approximately 3 meters, out of 15 meters. Future research endeavors will concentrate on enhancing the accuracy of the approach by implementing data filtering and interference reduction techniques.

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“…(2) Moving average filter Works to remove the high frequencies of the signal through the rate of each time using the equation [1,2].…”

Section: Data Initializationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing Indoor Navigation Accuracy with a Smartphone-Based Pedometer System

Abdulateef,

Makki

2023

ISI

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Sustainably empowered crowdfunding through blockchain-enhanced security technology

Gottumukkala,

Lalitha,

Kalyan

et al. 2023

E3S Web Conf.

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A sustainable crowdfunding smart contract is a specialized type of smart contract that empowers individuals to contribute funds towards a specific work or venture while ensuring ecological and ethical longevity. The smart contract is meticulously programmed to establish the parameters of the crowdfunding campaign, encompassing the total funds requisite for project completion, the quantity of available tokens for acquisition, campaign duration, and token valuation. In alignment with sustainable principles, the contract orchestrates the transparent collection and distribution of funds. It unequivocally designates the blockchain address for fund allocation and delineates how these funds will be equitably apportioned among the project’s development team, thus promoting sustainable practices.Furthermore, the sustainable crowdfunding smart contract features a built-in mechanism to restore funds to contributors in the event that the project fails to achieve its funding target within the stipulated time frame. Upon campaign culmination, the smart contract autonomously dispenses tokens to contributors and allocates funds to the project’s development team, fostering an environment of trust and accountability. This sustainable approach leverages the power of smart contracts to streamline and automate the entire process, assuring contributors that their resources will be judiciously utilized for their intended purpose. A pivotal advantage of this innovative approach lies in the elimination of intermediaries, fostering heightened security for assets through a human-intervention-free programmed process. By combining blockchain technology as the foundational backend and leveraging solidity for smart contract implementation, this sustainable solution exemplifies the pinnacle of accuracy and reliability. Through this seamless integration of technology and sustainability, the paper presents a progressive paradigm in crowdfunding that resonates with environmentally conscious and ethically mindful principles.

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A Study and Analysis on Pedestrian Detection and Tracking Through Rear-View Images

Cited by 2 publications

References 0 publications

Enhancing Indoor Navigation Accuracy with a Smartphone-Based Pedometer System

Enhancing Indoor Navigation Accuracy with a Smartphone-Based Pedometer System

Sustainably empowered crowdfunding through blockchain-enhanced security technology

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