The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
In this paper, we present a new multiple hypotheses tracking (MHT) approach. Our tracking method is suitable for online applications, because it labels objects at every frame and ...
In this study, two types of marker-based tracking systems for Augmented Reality were developed: a tracking system using line markers and a tracking system using circular markers. B...
Accurate registration between real and virtual objects is crucial for augmented reality applications. Existing tracking methods are individually inadequate: magnetic trackers are ...
Andrei State, Gentaro Hirota, David T. Chen, Willi...
Numerical simulations of a spherical shock refraction have been successfully conducted by a front tracking method. We demonstrate the e ciency of the front tracking algorithm by co...
Srabasti Dutta, James Glimm, John W. Grove, David ...
In this paper we describe an image based object recognition and tracking method for mobile AR-devices and the correlative process to generate the required data. The object recogni...
We present a novel tracking algorithm that uses dynamic programming to determine the path of target objects and that is able to track an arbitrary number of different objects. The...
Philippe Dreuw, Thomas Deselaers, David Rybach, Da...
We propose an eye detection and tracking method based on color and geometrical features of the human face using a monocular camera. In this method a decision is made on whether th...
A. M. Bagci, Ashfaq A. Khokhar, E. Cetin, Rashid A...
Abstract. We propose a novel tracking algorithm based on the WangLandau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conv...
This paper introduces a tracking method for the well known local MSER (Maximally Stable Extremal Region) detector. The component tree is used as an efficient data structure, which...