This report contains a review of visual tracking in monocular video sequences. For the
purpose of this review, the majority of the visual trackers in the literature are divided into …

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 …

Surveillance systems employ object tracking methods, a class of automatic data analysis
algorithms, to accurately locate the target or its trajectory under a wide range of constraints …

Hyperspectral cameras provide unique spectral signatures that can be used to solve
surveillance tasks. This paper proposes a novel real-time hyperspectral likelihood maps …

Very large format video or wide-area motion imagery (WAMI) acquired by an airborne
camera sensor array is characterized by persistent observation over a large field-of-view …

Common tracking algorithms only use a single feature to describe the target appearance,
which makes the appearance model easily disturbed by noise. Furthermore, the tracking …

Matching the visual appearances of the target over consecutive image frames is the most
critical issue in video-based object tracking. Choosing an appropriate distance metric for …

Embodiments of the invention provide a method of visual saliency estimation comprising
receiving an input sequence of image frames. Each image frame has one or more channels …

Vehicle tracking using airborne wide-area motion imagery (WAMI) for monitoring urban
environments is very challenging for current state-of-the-art tracking algorithms, compared to …

Abstract Accurate Magnetic Resonance Imaging (MRI) image segmentation is a clinically
challenging task. More often than not, one type of MRI image is insufficient to provide the …