Accurate and consistent vulnerable road user detection remains one of the most challenging
perception tasks for autonomous vehicles. One of the most complex outstanding issues is …

Data augmentation plays a crucial role in training a CNN-based detector. Most previous
approaches were based on using a combination of general image-processing operations …

Object tracking and detection is a classical research area in the field of computer vision from
decades. Numerous kinds of applications are dependent on the area of object detection …

Traffic surveillance has become an important topic in intelligent transportation systems
(ITSs), which is aimed at monitoring and managing traffic flow. With the progress in computer …

This paper studies efficient means in dealing with intracategory diversity in object detection.
Strategies for occlusion and orientation handling are explored by learning an ensemble of …

Vehicle detection is a challenging problem in autonomous driving systems, due to its large
structural and appearance variations. In this paper, we propose a novel vehicle detection …

Traffic surveillance has become an important topic in intelligent transportation systems
(ITSs), which is aimed at monitoring and managing traffic flow. With the progress in computer …

Visual-based approaches have been extensively studied for on-road vehicle detection;
however, it faces great challenges as the visual appearance of a vehicle may greatly change …

This article presents a survey of the latest methods of violence detection in video sequences.
Although many studies have described the approaches taken to detect violence, there are …

Deformable-part-based model (DPM) has shown great success in object detection in recent
years. However, its performance will degrade on partially occluded objects and is even …