It is a challenging task to develop an effective and robust object tracking method due to factors such as severe occlusion, background clutters, abrupt motion, illumination variation and so on. In this paper, a novel tracking algorithm based on weighted subspace reconstruction error is proposed. The discriminative weights are defined through minimizing reconstruction error with positive diction...

In this paper, we study the problem of initial data identification for weak-entropy solutions one-dimensional Burgers equation. This consists in identifying set evolving to a given target at final time. Due time-irreversibility equation, some functions are unattainable from making under consideration ill-posed. To get around issue, introduce nonsmooth optimization problem, which minimizing diff...

To aid in protecting patients from unnecessary exposures and to reduce radiation burdens to the public, a system for tracking a patient's medical exposure history and related radiation doses would be a useful tool. A patient-centred exposure registry, the Patient Exposure Registry (PER), is a mechanism that provides this tracking. This article outlines the objectives of the proposed Canadian PE...

We present the status of the forward-backward charge asymmetry measurement for W boson production using early Run 2 data collected with the Collider Detector at Fermilab (CDF). Tracking for forward electrons is a critical component of this measurement, and we describe a new technique which combines the position and energy measurements from the calorimeter with position measurements in the silic...

In this paper, we propose an algorithm that automatically detects and removes moving logos in video. The proposed algorithm consists of logo detection, tracking and extraction, and removal. In the logo detection step, we automatically detect moving logos using the saliency map and the scale invariant feature transform. In the logo tracking and extraction step, an improved mean shift tracking me...

We present the status of the forward-backward charge asymmetry measurement for W boson production using early Run 2 data collected with the Collider Detector at Fermilab (CDF). Tracking for forward electrons is a critical component of this measurement, and we describe a new technique which combines the position and energy measurements from the calorimeter with position measurements in the silic...

Several groups have proposed the state-space approach to tracking time-varying frequencies of multiharmonic quasiperiodic signals. The extended Kalman filter/smoother (EKF/EKS) is one of the common frequency tracking approaches seen in the literature. We introduce a multiharmonic frequency tracker based on the forward-backward statistical linearized Sigma-Point Kalman smoother (FBSL-SPKS) and c...

This paper proposes a complete framework for accurate face localization on video frames. Detection and forward tracking are first combined according to predefined rules to get a first set of face candidates. Backward tracking is then applied to provide another set of possible localizations. Finally a dynamic programming algorithm is used to select the candidates that minimize a specific cost fu...

PURPOSE To evaluate the in-scan and scan-rescan consistency of left ventricular (LV) in- and outflow assessment from 1) 2D planimetry; 2) 4D flow magnetic resonance imaging (MRI) with retrospective valve tracking, and 3) 4D flow MRI with particle tracing. MATERIALS AND METHODS Ten healthy volunteers (age 27 ± 3 years) underwent multislice cine short-axis planimetry and whole-heart 4D flow MRI...

Backward motion estimation consists of the class of motion algorithms that do not transmit motion information directly, but rather compute it at the decoder from already transmitted data. Traditional backward algorithms { also known as pel-recursion { rely on continuous image models, and apply resulting parameters onto sampled data. Within the framework of this approach, it is not feasible to i...