In this work, we present the results of our comparative evaluation of the Vocal Joystick system and the Eye Tracker system. Vocal Joystick is a non-verbal voice-based continuous mouse cursor control system that offers an alternative method of computer interaction for people with motor impairments. Our goal was to gain an understanding for how this system compares to an existing assistive techno...

SUMMARY Tracker is a web-based email alert system for monitoring protein database searches using HMMER and Blast-P, nucleotide searches using Blast-N and literature searches of the PubMed database. Users submit searches via a web-based interface. Searches are saved and run against updated databases to alert users about new information. If there are new results from the saved searches, users wil...

We present the design and performance analysis of a new integrated track reconstruction code developed for the STAR experiment at RHIC. The code is meant to replace multiple previous tracker codes written in FORTRAN many years ago, and to readily enable integration of new and varied detector components. The new tracker is written from the ground up in C++ using a strong object -oriented model. ...

A cooperative detection and model-free tracking algorithm, referred to as CDT, for multiple object tracking is proposed in this work. The proposed CDT algorithm has three components: object detector, forward tracker, and backward tracker. First, the object detector detects targets with high confidence levels only to reduce spurious detection and achieve a high precision rate. Then, each detecte...

In music applications, audio beat tracking is a central component that requires both speed and accuracy, but a fast beat tracker typically has many beat phase errors, while an accurate one typically requires more computation. This paper achieves a fast tracking speed and a low beat phase error by applying a slow but accurate beat phase detector at only the most informative spots in a given song...

We propose a multi-expert restoration scheme to address the model drift problem in online tracking. In the proposed scheme, a tracker and its historical snapshots constitute an expert ensemble, where the best expert is selected to restore the current tracker when needed based on a minimum entropy criterion, so as to correct undesirable model updates. The base tracker in our formulation exploits...

The increasing use of Peer to Peer (P2P) applications, usually ruled by selfish behaviors, is posing new challenges to the research community. As contributions of this work we firstly devise a general framework underpinning the development of highly reconfigurable P2P trackers. Following that, a novel tracker architecture is proposed and several illustrative and enhanced tracker configurations ...

Tracking multiple objects in surveillance scenarios involves considerable difficulty because of occlusions. We report a composite tracker based on feature tracking and colour based tracking that demonstrates superior performance under high degrees of occlusion. Disjoint foreground blobs are extracted by using change masks obtained by combining an online-updated background model and flow informa...

Interpretation of line drawings is largely dependent on the quality of line-recognition, because lines form the building blocks of these types of drawings. Because of its importance, considerable effort has been put in line-recognition. There are two main approaches to line recognition, line-detection and line-tracking. Line-detection is a parallel proces of global-image operations such as segm...

We introduce a novel probabilistic tracking algorithm that incorporates combinatorial data association constraints and model-based track management using variational Bayes. We use a Bethe entropy approximation to incorporate data association constraints that are often ignored in previous probabilistic tracking algorithms. Noteworthy aspects of our method include a model-based mechanism to repla...