The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …

During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …

Particle tracking is of key importance for quantitative analysis of intracellular dynamic
processes from time-lapse microscopy image data. Because manually detecting and …

Visual tracking of general objects often relies on the assumption that gradient descent of the
alignment function will reach the global optimum. A common technique to smooth the …

We present a novel algorithm (which we call" Frag-Track") for tracking an object in a video
sequence. The template object is represented by multiple image fragments or patches. The …

Modern construction projects require sufficient planning and management of resources to
become successful. Core issues are tasks that deal with maintaining the schedule, such as …

We introduce the concept of a spatiogram, which is a generalization of a histogram that
includes potentially higher order moments. A histogram is a zeroth-order spatiogram, while …

The mean shift algorithm has achieved considerable success in object tracking due to its
simplicity and robustness. It finds local minima of a similarity measure between the color …

This paper addresses the problem of tracking objects which undergo rapid and significant
appearance changes. We propose a novel coupled-layer visual model that combines the …

Enormous uncertainties in unconstrained environments lead to a fundamental dilemma that
many tracking algorithms have to face in practice: Tracking has to be computationally …