A new approach for detecting copy-move forgery in digital images

H Shabanian, F Mashhadi - 2017 IEEE Western New York …, 2017 - ieeexplore.ieee.org
The copy-move forgery is a common way to manipulate the digital images, which copied
regions come from the same image. The detection process of altered regions is known as …

Real-time human detection for intelligent video surveillance: an empirical research and in-depth review of its applications

J Usha Rani, P Raviraj - SN Computer Science, 2023 - Springer
A more efficient technique to guarantee safety and security in a variety of settings is through
video surveillance, also known as closed circuit television (CCTV). It is frequently employed …

Detecting, tracking and counting people getting on/off a metropolitan train using a standard video camera

SA Velastin, R Fernández, JE Espinosa, A Bay - Sensors, 2020 - mdpi.com
The main source of delays in public transport systems (buses, trams, metros, railways) takes
place in their stations. For example, a public transport vehicle can travel at 60 km per hour …

Nesne tespit ve takip metotları: Kapsamlı bir derleme

K Hanbay, H Üzen - Türk Doğa ve Fen Dergisi, 2017 - dergipark.org.tr
Image processing is a method for reading, extracting, and processing important data in a
digital image. One of the fundamental part of the image processing is collecting knowledge …

Quaternionic attitude estimation for robotic and human motion tracking using sequential monte carlo methods with von mises-fisher and nonuniform densities …

G To, MR Mahfouz - IEEE Transactions on Biomedical …, 2013 - ieeexplore.ieee.org
In recent years, wireless positioning and tracking devices based on semiconductor micro
electro-mechanical system (MEMS) sensors have successfully integrated into the consumer …

Recognition of suspicious human activities using klt and kalman filter for atm surveillance system

S Nandyal, S Angadi - 2021 international conference on …, 2021 - ieeexplore.ieee.org
one of the active research areas in the field of Computer Vision in today's era is recognizing
human activity under video surveillance. To resolve suspicious activity, sensitive and public …

Combining spatio-temporal context and Kalman filtering for visual tracking

H Yang, J Wang, Y Miao, Y Yang, Z Zhao, Z Wang… - Mathematics, 2019 - mdpi.com
As one of the core contents of intelligent monitoring, target tracking is the basis for video
content analysis and processing. In visual tracking, due to occlusion, illumination changes …

Improved mKLT and low layered HG-CNN based dynamic gesture recognition hardware system

MK Sain, S Saboo, J Singha… - Multimedia Tools and …, 2024 - Springer
Object tracking in videos is a critical task in computer vision. It comes with challenges due to
the processing complexities and the high accuracy requirement. Challenges like varying …

The Intersection of Machine Learning, Artificial Intelligence, and Big Data

A Saeed, H Ebrahim - Big Data Computing, 2024 - taylorfrancis.com
Big data has become an essential part of the modern business landscape, creating a
significant need for machine learning and artificial intelligence technologies to extract …

Parametric analysis of KLT algorithm in autonomous driving

Y Han, C Kim, Y Jang, HJ Kim - 2020 20th International …, 2020 - ieeexplore.ieee.org
The Kanade-Lucas-Tomasi (KLT) tracking algorithm is a widely used feature tracking
algorithm in the field of computer vision (CV). The selection of proper warping parameters for …