Multiple object tracking in deep learning approaches: A survey

Y Park, LM Dang, S Lee, D Han, H Moon - Electronics, 2021 - mdpi.com
Object tracking is a fundamental computer vision problem that refers to a set of methods
proposed to precisely track the motion trajectory of an object in a video. Multiple Object …

Early and accurate prediction of heart disease using machine learning model

B Padmaja, C Srinidhi, K Sindhu, K Vanaja… - Turkish Journal of …, 2021 - turcomat.org
Heart disease is one of the critical health issues and many people across the world are
suffering with this disease. It is important to identify this disease in early stages to save many …

Spatio-temporal features based human action recognition using convolutional long short-term deep neural network

AFMS Saif, ED Wollega… - International Journal of …, 2023 - search.proquest.com
Recognition of human intention is crucial and challenging due to subtle motion patterns of a
series of action evolutions. Understanding of human actions is the foundation of many …

Hybrid approach for suspicious object surveillance using video clips and UAV images in cloud-IoT-based computing environment

R Ahamad, KN Mishra - Cluster Computing, 2024 - Springer
In broad terms, it can be said that the existing video surveillance systems with automatic face
recognition and manual face detection in crewless aerial vehicles (UAVs') video frames did …

Deep features fusion for KCF-based moving object tracking

DA Maharani, C Machbub, L Yulianti, PH Rusmin - Journal of Big Data, 2023 - Springer
Real-time object tracking and occlusion handling are critical research areas in computer
vision and machine learning. Developing an efficient and accurate object-tracking method …

A novel random split point procedure using extremely randomized (Extra) trees ensemble method for human activity recognition

B Padmaja, VVR Prasa… - … Endorsed Transactions on …, 2020 - publications.eai.eu
INTRODUCTION: Automatic detection and recognition of various human physical
movements while performing daily life activities such as walking, jogging, running, sitting …

Implementation of an adaptive E-learning platform with facial emotion recognition

MM Bala, H Akkineni, SA Sirivella, S Ambati… - Microsystem …, 2023 - Springer
The advancement in technology provides various opportunities for students to encourage
academic development and provides ease of access to education using E-learning systems …

A system to automate the development of anomaly-based network intrusion detection model

B Padmaja, KS Sravan, EKR Patro… - Journal of Physics …, 2021 - iopscience.iop.org
Cyber security is the major concern in today's world. Over the past couple of decades, the
internet has grown to such an extent that almost every individual living on this planet has the …

Prognosis of Vitamin D deficiency severity using SMOTE optimized machine learning models

B Padmaja, BR Reddy, RV Sagar… - Turkish Journal of …, 2021 - turcomat.org
According to global health studies, Deficiency in vitamin D (VDD) is a major public health
problem, and there is a strong need for developing a prediction method that can use non …

An early warning system of fatigue detection of drivers using novel image processing and HOG for evaluation of the driver quality using Viola-Jones over hog …

KB Naidu, AS Vickram, S Udhayakumar - AIP Conference Proceedings, 2024 - pubs.aip.org
When the Viola-Jones machine learning algorithm is used to forecast a driver's sleepiness
behaviour, it may help save people from nodding off behind the wheel and causing …