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 …

For the last two decades, intelligent transportation systems (ITS) have emerged as an
efficient way of improving the performance of transportation systems, enhancing travel …

Integrating image processing in video surveillance systems is a challenging task that has
been attempted for the past several decades. Despite being susceptible to crime, automated …

This paper presents a novel mixture-of-experts framework for pedestrian classification with
partial occlusion handling. The framework involves a set of component-based expert …

Notwithstanding many years of progress, pedestrian recognition is still a difficult but
important problem. We present a novel multilevel Mixture-of-Experts approach to combine …

This paper presents a novel pedestrian detection system for intelligent vehicles. We propose
the use of dense stereo for both the generation of regions of interest and pedestrian …

This paper presents a novel approach to single-frame pedestrian classification and
orientation estimation. Unlike previous work which addressed classification and orientation …

Pedestrian detection is a rapidly evolving area in the intelligent vehicles domain. Stereo
vision is an attractive sensor for this purpose. But unlike for monocular vision, there are no …

This paper proposes an integrated system for the segmentation and classification of four
moving objects, including pedestrians, cars, motorcycles, and bicycles, from their side-views …

This book is a natural evolution of the survey paper we published in the IEEE Transactions
on Pattern Analysis and Machine Intelligence [121]. Therefore, we have followed the same …