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Constrained metric learning by permutation inducing isometries
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
The choice of metric critically affects the performance of classification and clustering algorithms. Metric learning algorithms attempt to improve performance, by learning a more appropriate metric. Unfortunately, most of ...
FSC-Set: Counting, Localization of Football Supporters Crowd in the Stadiums
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Counting the number of people in a crowd has gained attention in the last decade. Due to its benefit to many applications such as crowd behavior analysis, crowd management, and video surveillance systems, etc. Counting ...
Public Security Surveillance System Using Blockchain Technology and Advanced Image Processing Techniques
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
National security is a top priority to mitigate intrusions and criminal acts. Governments require robust national surveillance system that can cover all geographical areas, including the blind spots that may hold violence ...
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Support estimation (SE) of a sparse signal refers to finding the location indices of the nonzero elements in a sparse representation. Most of the traditional approaches dealing with SE problems are iterative algorithms ...
Face segmentation in thumbnail images by data-adaptive convolutional segmentation networks
(
IEEE Computer Society
, 2016 , Conference Paper)
In this study we address the problem of face segmentation in thumbnail images. While there have been several approaches for face detection, none performs detection in such low resolution and segmentation with pixel accuracy. ...
Enhancing face recognition using Directional Filter Banks
(
Elsevier Inc.
, 2013 , Article)
Face recognition is an increasingly important problem in biometric applications; consequently many recognition algorithms have been proposed during the last three decades. It is accepted that the use of a pre-processing ...
DeepWTPCA-L1: A New Deep Face Recognition Model Based on WTPCA-L1 Norm Features
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
In this paper, we propose a robust face recognition model called DeepWTPCA-L1 using WTPCA-L1 features and a CNN-LSTM architecture. First, WTPCA-L1 algorithm, composed of Three-level decomposition of discrete wavelet transform ...
Automatic and Secure Electronic Gate System Using Fusion of License Plate, Car Make Recognition and Face Detection
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In this paper, we propose an automatic electronic gate system with authenticity confirmation from 3 individual modules, viz., car make and model, license plate and face detection. The ultrasonic sensor detects the stopped ...
Applications, databases and open computer vision research from drone videos and images: a survey
(
Springer Science and Business Media B.V.
, 2021 , Article)
Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an emerging application attracting significant attention from researchers in various areas of computer vision. Currently, the major ...
Secure facial recognition in the encrypted domain using a local ternary pattern approach
(
Elsevier Ltd
, 2021 , Article)
Automatic facial recognition is fast becoming a reliable method for identifying individuals. Due to its reliability and unobtrusive nature facial recognition has been widely deployed in law enforcement and civilian ...