Suspicious action recognition in surveillance based on handcrafted and deep learning methods: A survey of the state of the art
Suspicious action recognition is a captivating and testing task in the realm of surveillance.
An anomaly recognition framework recognizes abnormal happenings uniquely in contrast to …
An anomaly recognition framework recognizes abnormal happenings uniquely in contrast to …
EVBS-CAT: enhanced video background subtraction with a controlled adaptive threshold for constrained wireless video surveillance
Moving object detection (MOD) has gained significant attention for its application in
advanced video surveillance tasks. Region-of-Interest (ROI) detection algorithms are …
advanced video surveillance tasks. Region-of-Interest (ROI) detection algorithms are …
[HTML][HTML] A digital twin-based energy-efficient wireless multimedia sensor network for waterbirds monitoring
Wetlands play a critical role in maintaining the global climate, regulating the hydrological
cycle, and protecting human health. However, they are rapidly disappearing due to human …
cycle, and protecting human health. However, they are rapidly disappearing due to human …
A novel defocus-blur region detection approach based on DCT feature and PCNN structure
The motion or out-of-focus effect in digital images is the main reason for the blurred regions
in defocused-blurred images. It may adversely affect various image features such as texture …
in defocused-blurred images. It may adversely affect various image features such as texture …
SDDS-Net: space and depth encoder-decoder convolutional neural networks for real-time semantic segmentation
In this paper, we propose novel convolutional encoder-decoder architectures for real-time
semantic segmentation based on an image-to-image translation approach via the space-to …
semantic segmentation based on an image-to-image translation approach via the space-to …
Improving image encoding quality with a low-complexity DCT approximation using 14 additions
The quality of images is crucial in image and video compression, especially for resource-
constrained systems that prioritize simplicity. To achieve fast and low-energy compression …
constrained systems that prioritize simplicity. To achieve fast and low-energy compression …
[HTML][HTML] Hyperspectral Attention Network for Object Tracking
S Yu, J Ni, S Fu, T Qu - Sensors, 2024 - mdpi.com
Hyperspectral video provides rich spatial and spectral information, which is crucial for object
tracking in complex scenarios. Despite extensive research, existing methods often face an …
tracking in complex scenarios. Despite extensive research, existing methods often face an …
Infrared Small Target Detection via Local-global Feature Fusion
L Wu, Y Ma, F Fan, J Huang - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
Due to the high-luminance (HL) background clutter in infrared (IR) images, the existing IR
small target detection methods struggle to achieve a good balance between efficiency and …
small target detection methods struggle to achieve a good balance between efficiency and …
[HTML][HTML] x-DTT: A package for calculating real and Integer Discrete Tchebichef Transform kernels based on orthogonal polynomials
This paper presents a MATLAB implementation of the exact real Discrete Tchebichef
Transform (DTT) and Integer Discrete Tchebichef Transform (IDTT) with their inverse …
Transform (DTT) and Integer Discrete Tchebichef Transform (IDTT) with their inverse …
Luma Range Scaling for Enhanced VVC Efficiency in Video Coding for Machines
Recent years have shown significant growth in video data traffic for machine vision
applications, catalyzing new standardization efforts in video coding for machines (VCM) …
applications, catalyzing new standardization efforts in video coding for machines (VCM) …