Vision-based human detection techniques: a descriptive review

SS Sumit, DRA Rambli, S Mirjalili - IEEE Access, 2021 - ieeexplore.ieee.org
Cameras are being used everywhere for the safety and security of citizens in different
countries. Using a machine to detect humans in a photo or a video frame is a very …

Copy-move forgery detection using SURF feature extraction and SVM supervised learning technique.

S Dhivya, J Sangeetha… - Soft Computing-A Fusion …, 2020 - search.ebscohost.com
The goal of computer vision is to identify objects of interest from images. Copy-move forgery
is the process of copying one or more parts of an image and moved into another part of an …

Motion Detection and Face Recognition for CCTV Surveillance System

A Nurhopipah, A Harjoko - IJCCS (Indonesian Journal of …, 2018 - journal.ugm.ac.id
Abstract Closed Circuit Television (CCTV) is currently used in daily life for a variety purpose.
Development of the use of CCTV has transformed from a simple passive surveillance into an …

Comparison of SURF and HOG extraction in classifying the blood image of malaria parasites using SVM

RA Rizal, JS Sihotang, R Gultom - … International Conference of …, 2019 - ieeexplore.ieee.org
Malaria is the deadliest disease caused by a protozoa parasite of the Plasmodium genus
that is transmitted through the female Anopheles mosquito. Five Plasmodium species can …

Chest X‐Ray Images to Differentiate COVID‐19 from Pneumonia with Artificial Intelligence Techniques

R Islam, M Tarique - International Journal of Biomedical …, 2022 - Wiley Online Library
This paper presents an automated and noninvasive technique to discriminate COVID‐19
patients from pneumonia patients using chest X‐ray images and artificial intelligence. The …

Real-time multimodal biometric authentication of human using face feature analysis

R Srivastava, R Tomar, A Sharma, G Dhiman… - 2021 - opal.latrobe.edu.au
Asmultimedia data sharing increases, data security in mobile devices and its mechanism
can be seen as critical. Biometrics combines the physiological and behavioral qualities of an …

Iris image classification using SIFT features

I Păvăloi, A Ignat - Procedia Computer Science, 2019 - Elsevier
The object of interest of this paper is automatic iris classification when dealing with missing
information. Our approach uses and extends a method for face recognition, based on Scale …

Illumination invariant face recognition using MSVM

A Sinha, S Barde - AIP Conference Proceedings, 2022 - pubs.aip.org
In Computer Science, Face Recognition is a challenging research field and face
Recognition with variation in lighting condition is an even more challenging and difficult task …

Liveness control in face recognition with deep learning methods

N Ebrahimpour, MA Ayden… - The European Journal of …, 2022 - journals.orclever.com
Today, automatic identification of individuals from biometric features is widely used in
identification and authentication, security, and monitoring applications. Since facial …

Face recognition with illumination, scale and rotation invariance using multiblock LTP-GLCM descriptor and adaptive ANN

S Veerashetty, Virupakshappa, Ambika - International Journal of System …, 2024 - Springer
Face recognition has recently gained significant attention as one of the most useful image
analysis applications. By leveraging their unique but incredible identification skills, these …