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FSC-Set: Counting, Localization of Football Supporters Crowd in the Stadiums
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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 ...
Evolution of Internet of Things from Blockchain to IOTA: A Survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Internet of Things (IoT) is the new paradigm to the scaling nature of things and their elements, interconnected, exchanging data over a network supported with nodes. The Ubiquitous use of tiny devices and embedded sensor ...
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
(
Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing ...
Image Steganography: A Review of the Recent Advances
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Image Steganography is the process of hiding information which can be text, image or video inside a cover image. The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, ...
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 ...
Mhad: Multi-human action dataset
(
Springer
, 2020 , Conference Paper)
This paper presents a framework for a multi-action recognition method. In this framework, we introduce a new approach to detect and recognize the action of several persons within one scene. Also, considering the scarcity ...
Applications, databases and open computer vision research from drone videos and images: a survey
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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 ...
Drone-SCNet: Scaled Cascade Network for Crowd Counting on Drone Images
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Crowd management is an essential task to ensure the safety and smoothness of any event. Using novel technologies, including surveillance cameras, drones, and the communication techniques between security agents, the control ...
End-to-End Image Steganography Using Deep Convolutional Autoencoders
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Image steganography is used to hide a secret image inside a cover image in plain sight. Traditionally, the secret data is converted into binary bits and the cover image is manipulated statistically to embed the secret ...
A review of video surveillance systems
(
Academic Press Inc.
, 2021 , Article)
Automated surveillance systems observe the environment utilizing cameras. The observed scenario is then analysed using motion detection, crowd behaviour, individual behaviour, interaction between individuals, crowds and ...