Children and the 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 …

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 …

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 …

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

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 …

The most significant challenge is different lighting conditions, the varies brightness of
pedestrian's clothes, or complicated background. Reasonable and suitable feature …

In order to improve the low detection accuracy and recall rate of Yolov3-Tiny on small or
obscured pedestrian target, this paper proposes an improved Yolov3-Tiny pedestrian …

Pedestrian detection is an important aspect of the development of intelligent vehicles. To
address problems in which traditional pedestrian detection is susceptible to environmental …

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 …