Pedestrian detection has a wide range of application prospects in many fields such as
unmanned driving, intelligent monitoring, robot, etc., and has always been a hot issue in the …

Pedestrian detection is an important but challenging problem in computer vision, especially
in human-centric tasks. Over the past decade, significant improvement has been witnessed …

Pedestrian detection is an important task in autonomous surveillance systems. Despite the
rapid progress in pedestrian detection field, detecting occluded pedestrians remains a …

Pedestrian detection in the wild remains a challenging problem especially for scenes
containing serious occlusion. In this paper, we propose a novel feature learning method in …

Comprehensive and accurate perception of the real 3D world is the basis of autonomous
driving. However, many perceptual methods focus on a single task or object type, and the …

Detecting pedestrians is a challenging computer vision task, especially in the intelligent
transportation system. Mainstream pedestrian detection methods purely utilize information of …

Pedestrian detection is a key component to analyze the outdoor scene, which has an
important part in object detection of unmanned aerial vehicle (UAV) images. The original …

Pedestrian detection is essential in various applications, such as self-driving vehicles, video
surveillance, and intelligent traffic management. However, the wide variations in pedestrian …

Aiming at the low recognition rate of pedestrian detection algorithm in traffic scene, this
paper designs a pedestrian recognition algorithm based on local feature cascade classifier …

[1] Autonomous driving is entering our lives in the form of commercial vehicles and private
cars at an increasing pace. Many advanced features such as automatic parking, adaptive …