Numerous technologies and systems, including autonomous vehicles, surveillance systems,
and robotic applications, rely on the capability to accurately detect pedestrians to ensure …

Although pedestrian detection techniques are improving, this task is still challenging due to
the problems of target occlusion, small targets, and complex pedestrian backgrounds in …

Pedestrian detection is one of the most challenging research areas in computer vision.
Compared to traditional hand-crafted methods, convolutional neural networks (CNNs) have …

Pedestrian detection is one of the significant tasks in Autonomous Vehicles (AVs). There are
two kinds of networks which are widely used for pedestrian detection: single-stage networks …

Nowadays, utilizing Advanced Driver-Assistance Systems (ADAS) has absorbed a huge
interest as a potential solution for reducing road traffic issues. Despite recent technological …

Detecting pedestrians in a crowded scene in real time is a challenging task in monitoring
and managing crowd. Many researchers around the world have addressed this task and …

Pedestrian detection is crucial for crowd surveillance applications and cyber-physical
systems that can deliver timely and sophisticated solutions, especially with applications like …

Pedestrian detection is one of the most challenging research areas in computer vision, as it
involves classifying the image and localizing the pedestrian. Its applications, especially in …

Most video surveillance systems are employed to keep tabs on individuals. It was impossible
for old human identification algorithms, which relied on background and foreground …

The pedestrian detection algorithm (PDA) is one of the most widely used techniques in
modern automated vehicles, surveillance systems, human-machine interfaces, intelligent …