In underwater scenes, wavelength-dependent light absorption and scattering degrade the
visibility of images and videos. The degraded underwater images and videos affect the …

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 widely applied in surveillance, autonomous robotic navigation, and
automotive safety. However, there are many occlusion problems in real life. This paper …

Although pedestrian detection technology is constantly improving, pedestrian detection
remains challenging because of the uncertainty and diversity of pedestrians in different …

State-of-the-art pedestrian detectors have performed promisingly on non-occluded
pedestrians, yet they are still confronted by heavy occlusions. Although many previous …

Detecting small-scale pedestrians is one of the most challenging problems in pedestrian
detection. Due to the lack of visual details, the representations of small-scale pedestrians …

Occlusion is a severe problem for pedestrian detection in crowded scenes. Due to the
diversity of pedestrian postures and occlusion forms, leading to false detection and missed …

While background subtraction techniques have been widely applied to detect moving
objects in a video stream captured by a static camera, detecting moving objects using a …

遮挡目标检测长期以来是计算机视觉中的一个难点和研究热点. 目前的深度学习基于卷积神经
网络, 将目标检测任务作为分类任务和回归任务来处理. 当目标被遮挡时, 遮挡物会混淆目标之间 …

In the computer vision applications such as security surveillance and robotics, pedestrian
identification shows much attention in the last decade. This is usually achieved by human …