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88 articles for “background modeling”
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Abandoned Object Detection via Temporal Consistency Modeling for Visual Surveillance
Abstract: This paper introduces a successful approach for distinguishing abandoned luggage in surveillance recordings. We join short- and long-term foundation models to concentrate on closer view of objects, where every pixel in an information picture is named a 2 bit code. In this manner, we acquaint a structure with recognized static frontal areas in light of the worldly move of code designs, and to figure out if the applicant districts contain …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 2, 2017 · pp. 1–6 Read article
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Video Surveillance and Object Tracking: A Survey
Abstract: The multiple object tracking from video sequences has been an open research question for so many years. It remained a demanding research for the tracking of motion and simultaneous object detection within a domain range of image processing and computer vision. The tracking methodologies involve object segmentation, background subtraction, feature descriptors like mean-shift, particle filter. Thus, the performance of such tracking methods varies with the computational complexity which relies on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 15–23 Read article
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Performance of Speaker Recognition System in Mismatching Speaking Style
Abstract: Analysis of speaker recognition system under different speaking style and mismatch conditions is presented. Generally, in text independent speaker recognition system, the way of speaking style used remains the same in training and testing phase. Whisper speech is generally used quietly to convey secret information or to avoid disturbing others in quiet place, so hearing of speech is limited to nearby listener only. Source of excitation and vocal tractsystem contains …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 58–65 Read article
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A Novel Real Time Motion Detection Algorithm
Abstract: Constant identification of moving items is fundamental for feature reconnaissance. Foundation subtraction serves as an essential system normally used to portion the moving questions in picture successions taken from a camera. Some current calculations cannot calibrate changing circumstances and they require manual alignment in connection to the determination of parameters or a few speculations for element evolving foundation. A versatile movement division and recognition methodology is produced by utilizing movement …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 1, 2015 · pp. 8–15 Read article
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Background Suppression for Visual Surveillance Using SOM
Abstract: AbstractBackground suppression is widely used approach for detection of moving objects in video streams which is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient. An approach based on self-organization …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 1, 2015 · pp. 15–20 Read article
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Influence of Reptin on acute pancreatitis model of the rat
Abstract: Background and Aim: In acute pancreatitis, hyperproduction of inflammatory mediators, including inflammatory cytokines, exacerbation of tissue injury due to microcirculatory disturbances, secondary activation of inflammatory cells in distant organs, and the cascade are the pathogenic basis of pancreatitis severity. Therefore, inhibition of pancreatic enzyme activity, blocking production, and preventing the activation of inflammatory cells is a practical way to prevent the development of severe acute pancreatitis and multiorgan failure. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 11, Issue 2, 2022 · pp. 36–40 Read article
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Using the TCGA Database, Establishing and Validating an RNA-binding Protein-based on Prognostic Model for Liver Cancer
Abstract: Background: The third most common cause of cancer-related death is liver cancer, one of the most prevalent hematological malignancies in the world. The term RNA-binding protein (RBP) refers to a group of proteins that bind to RNA to control metabolic processes. The development of RNA-binding proteins is related to the mortality of liver cancer victims. Methods: RBP gene expression data from liver cancer were extracted using the TCGA database. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 2, 2022 · pp. 7–22 Read article
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Analysis of Public Sentiment Variations on Twitter Data Set
Abstract: AbstractLarge numbers of users share their opinions on social networking sites, making it a valuable platform for tracking and analyzing public sentiment. Twitter has become a valuable platform for public to share their opinion. It can be used for sentiment analysis. Such tracking and analysis can provide critical information for decision making in various domains. It has attracted attention in both academia and industry. Sentiment analysis is nothing but finding …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 32–57 Read article
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AI-Based Criminal Identification System A Breakthrough Approach
Abstract: Identifying and locating a perpetrator is a time-consuming and difficult process. The perpetrators are growing more skilled, leaving no biological evidence or fingerprint impressions at the crime scene. Using cutting-edge face recognition technology is a quick and easy solution. Through the use of linear programming, this research presents an innovative approach to classifying all face tracks collectively. In addition to the following, it incorporates: a novel method for extracting more …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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A study on IoT and AI for Predictive Modeling and Control of Infectious Disease Transmission
Abstract: Background: The global response to novel and recurring infectious diseases is frequently hindered by surveillance systems that are slow, siloed, and reactive. Traditional epidemiology relies on retrospective analysis of clinical reports, often missing the critical early phase of autocatalytic spread. The urgency of modern public health necessitates a shift toward real-time, predictive intelligence. Methods: This study investigates the development and deployment of a synergistic paradigm integrating the Internet of Things …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Innovative Eyewear for the Visually Impaired
Abstract: Object detection systems are essential tools for identifying and locating objects within images or videos. When integrated into spectacles or wearable devices, these systems provide users with real-time information about objects present in their surroundings. This functionality serves diverse purposes, such as assisting visually impaired individuals in navigating their environment or offering augmented reality data to workers during tasks. Region-based Convolutional Neural Networks (RCNN) represent a prominent machine learning model …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Applicability of SWMM Model for Urban Flood Forecasting: A Review
Abstract: Urbanization, the major goal for the emerging economies, with which come the major concerns, flood conditions being one of them. The huge losses of infrastructure and lives have alarmed us with the need to tackle this situation in an effective and sustainable manner. Flood forecasting and its management is the only sail through the narrow gap between the disasters and prosperity. Precipitation is the major component of the hydrologic cycle …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 1–4 Read article
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Money Laundering Transaction with Machine Learning
Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article
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The Safety of Dental X-ray Machine against the Deoxyribonucleic Acid (DNA): In Vitro Model Explores the Effects of Chlorine Free Radical, Duration of Exposure and the Doses of Irradiation
Abstract: Background: Patients attended to the dental clinics are referred to X-ray which may arise the possibility of adverse reactions upon oral mucosa. X-ray-induced oral mucosa damage is related to the generation of the free radicals in the aqueous media of the cells. Objectives: This study aimed to clarify the safety of dental X-ray exposure by utilizing an in vitro experimental model of calf-thymus double strands DNA (ctdsDNA) molecule exposed to …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 2, 2019 · pp. 23–28 Read article
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MediSense AI - Smart Health Analysis System
Abstract: MediSense AI is a revolutionary health analysis system that empowers users by transforming complex medical data into understandable insights. This platform utilizes advanced technologies, particularly natural language processing and machine learning, to make intricate medical terminologies accessible to individuals without a healthcare background. Leveraging Llama 3, a cutting-edge AI model developed by Meta AI, the system can analyze various forms of medical data, including the ability for users to upload …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 20–30 Read article
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QSAR Modeling of a Novel Series of Methoxylated Chalcones as Antioxidant Agents Against Gram-Positive Bacteria Staphylococcus aureus
Abstract: Background: Chalcones are aromatic ketones belonging to the flavonoid family. They are plant-based compounds and are widely found in nature. For centuries, these bioactive molecules have been utilized in various traditional medicines for the treatment of several ailments. Chalcones have antibacterial, antiviral, antimalarial, antifungal, antioxidant, and antileishmanial properties. They are also used to treat inflammation and cancer. Chalcones act as angiogenesis inhibitors, an important factor in cancer progression and metastasis. …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article
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Modelling and Electrical Characterization of Single Electron Transistor
Abstract: A nano-electronic device with low power consumption, high performance, and quantum effects is the single electron transistor (SET). It's used in charge sensor applications, infrared radiation detectors, and spectroscopy. However, it faces limitations in lithography, co-tunneling effect, low gain, high output impedance, and background charges. Therefore, prior simulation is needed to optimize SET's work function and understanding physics concepts. A master equation approach is used to propose a new model …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 3, 2024 · pp. 19–25 Read article
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The Evolution of Cloud Computing
Abstract: This study comprehensively covers cloud computing; the diverse help models, its development, how could it be significant against the background of the arising Indian market and how might this innovation be tapped with the goal that its latent capacity is utilized to limit with regards to mechanical development in the country. Distributed computing as an idea has been around for a long while; however, the new years have seen it …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 20–28 Read article
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Changes of the Function of Interstitial Cells of Cajal and Fecundity During Chronic Salpingitis: Experimental Study
Abstract: We have conducted this study to clarify the changes of the function of interstitial cells of Cajal and fecundity in chronic salpingitis white rat models which are made by infecting its vaginal cavity with Chlamydia. Background: Chlamydial infection is a sexually transmitted disease which is caused by Chlamydia trachomatis. 75% of the fallopian tube disease is thought to be due to anamnesis of asymptomatic Chlamydial infection and those who are …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 23–26 Read article
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Segmentation and Classification of Hand Gestures for Indian Sign Language with YCbCr and HSV Color Models with Dissimilar Signers Under Different Lighting Conditions using AlexNet
Abstract: Indian Sign Language (ISL) Recognition System can be implemented by considering the signs as hand gestures and developing a hand gesture recognition system. The impact of illumination changes on the performance of segmentation and classification where different lighting conditions such as normal, bright, dim, and artificial light under different color spaces like RGB, HSV and YCbCr are studied, and performance parameters are analyzed. It is observed that YCbCr color space …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 37–50 Read article