The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

Detection, tracking, and understanding of moving objects of interest in dynamic scenes have
been active research areas in computer vision over the past decades. Intelligent visual …

Identifying moving objects from a video sequence is a fundamental and critical task in many
computer-vision applications. A common approach is to perform background subtraction …

Segmentation and tracking of multiple humans in crowded situations is made difficult by
interobject occlusion. We propose a model-based approach to interpret the image …

Occlusion and lack of visibility in crowded and cluttered scenes make it difficult to track
individual people correctly and consistently, particularly in a single view. We present a multi …

Tracking across cameras with non-overlap** views is a challenging problem. Firstly, the
observations of an object are often widely separated in time and space when viewed from …

When viewed from a system of multiple cameras with non-overlap** fields of view, the
appearance of an object in one camera view is usually very different from its appearance in …

Barron, JL,“Performance of optical flow techniques.” International Journal of Computer
Vision 12 (1): 43-77 (1994)(the year of publi cation is sufficiently earlier than the effective US …

In‐house video surveillance can represent an excellent support for people with some
difficulties (eg elderly or disabled people) living alone and with a limited autonomy. New …

This book is the first ever to focus on the emerging field of self-aware computing from an
engineering perspective. It first comprehensively introduces fundamentals for self …