Tracking in urban street scenes plays a central role in autonomous systems such as self-
driving cars. Most of the current vision-based tracking methods perform tracking in the image …

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 …

Classical tracking-by-detection approaches require a robust object detector that needs to be
executed in each frame. However the detector is typically the most computationally …

Techniques and systems are provided for prioritizing objects for object recognition in one or
more video frames. For example, a current video frame is obtained, and a objects are …

This paper addresses the problem of 3D tracking of human gesture for buying behavior
estimation. The top view of the customers, which has been little treated for human tracking, is …

Mobile robots assisting people in their apartment are subject to recent research efforts. To
provide useful services a robot must be aware of the position of the user. Since the sensors …

Developing methods for people tracking on mobile robots is of great interest to engineers
and scientists alike. Plenty of research is focused on pedestrian tracking in public areas. Yet …

This paper reports on the design of an object tracker that utilizes a family of unscented
Kalman filters, one for each tracked object. This is a more efficient design than having one …

People detection and tracking are key aspects in current research on mobile robots. While
plenty of research is focused on pedestrian tracking in public areas, fewer work exists on …

The Stixel World is a novel and versatile medium-level representation to efficiently bridge
the gap between pixel-based processing and high-level vision. Modern stereo matching …