The Children and elderly are among the most vulnerable to accidents, in computer vision
detection applications, they can be detected distinctly to avoid collision with them. In this …

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 …

Over the last decades, the famous deep-learning framework of 'You Only Look Once'–YOLO
for object detection has gasped important interest due to its vital performance for object …

In recent years, techniques based on the deep detection model have achieved
overwhelming improvements in the accuracy of detection, which makes them being the most …

In this paper, I mainly focus on real-time pedestrian detection, which is a critical part of robot
vision and autonomous driving cars. In recent, convolutional neural networks and deep …

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

Ever-since the advent of computer vision-related research field, object detection has been in
the forefront of this field. Among all the object detection tasks, pedestrian detection has been …

Deep neural networks achieve excellent results on various computer vision tasks, but
learning models require large amounts of tagged images and often unavailable data. An …

In recent years, object detection algorithms have achieved great success in the field of
machine vision. To pursue the detection accuracy of the model, the scale of the network is …

The non-maximum suppression algorithm is usually used in the post-position of deep
learning object detection algorithm. It suppresses the detection boxes with high overlap rate …