The detection of pedestrians using infrared images is essential for security during automatic
driving and monitoring under low illumination or occlusion conditions. However, detecting …

This paper realizes infrared image denoising, recognition, and semantic segmentation for
complex electrical equipment and proposes a thermal fault diagnosis method that …

Object detection, specially designed for anomaly and pedestrian recognition, epitomizes the
forefront of computer vision (CV) advancement. By harnessing the abilities of deep learning …

Hiking and cycling have become popular activities for promoting well-being and physical
activity. Portugal has been investing in hiking and cycling trail infrastructures to boost …

Object detection in pedestrian walkways is a crucial area of research that is widely used to
improve the safety of pedestrians. It is not only challenging but also a tedious process to …

Detecting objects within real-time video frames is a formidable challenge due to visual
degradation and object movement complexities. This research presents a three-step …

Because of the synergistic characteristics of the data they provide, thermal imagers are
becoming more and more common as secondary data-collecting modules to complement …

With the expansion of vector-based classifiers to matrix-based classifiers, noise insensitivity
and sparsity have always been the focal points. Existing SMM and Pin-SMM enjoy the …

Pedestrian detection is a significant research topic in the computer vision (CV) domain for a
longer period. Recently, deep learning (DL) and specifically convolutional neural network …

In the realm of video surveillance systems, pedestrian detection (PD) is a crucial task that
enables the identification and tracking of individuals, crowd monitoring, and people …