Pedestrian detection is a key problem in computer vision, with several applications that have
the potential to positively impact quality of life. In recent years, the number of approaches to …

Advanced driver assistance systems (ADASs), and particularly pedestrian protection
systems (PPSs), have become an active research area aimed at improving traffic safety. The …

Pedestrian detection is a rapidly evolving area in computer vision with key applications in
intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to …

For a responsive audio art installation in a skylit atrium, we introduce a single-camera
statistical segmentation and tracking algorithm. The algorithm combines statistical …

Understanding human behaviors is a challenging problem in computer vision that has
recently seen important advances. Human behavior understanding combines image and …

Active safety systems hold great potential for reducing accident frequency and severity by
warning the driver and/or exerting automatic vehicle control ahead of crashes. This paper …

Collision avoidance is one of the most difficult and challenging automatic driving operations
in the domain of intelligent vehicles. In emergency situations, human drivers are more likely …

In this paper, we highlight the conceptual structure of the intelligent transportation systems
(ITS) research field in the period 1992-2011. To do that, an automatic approach for detecting …

Pedestrian detection is one of the most important components in driver-assistance systems.
In this paper, we propose a monocular vision system for real-time pedestrian detection and …

In this paper a new vehicle logo recognition approach is presented using Histograms of
Oriented Gradients (HOG) and Support Vector Machines (SVM). The system is specifically …