In this article, we modeled image target tracking into reinforcement learning framework, and we proposed a two-step reinforcement learning algorithm for target tracking. In this algorithm, we set multiple tracker agent to track the pixel of target, the intention of reinforcement learning is to achieve tracking strategy of every tracker agent, we divided each learning step of tracker into two pa...

For learning an object representation a huge amount of labeled data is needed. To minimize the labeling effort this paper proposes a new approach for learning from unlabeled data. The main idea is to combine a tracker and a learning method by directly feeding the learning algorithm with patches obtained by the tracker. In particular we apply an MSER based tracker and batch PCA for learning. But...

BACKGROUND Robot-assisted needle steering facilitates the percutaneous renal access (PRA) for their accuracy and consistency over manual operation. However, inaccurate image-robot correspondence and uncertainties in robot parameters make the needle track deviate from the intrarenal target. This paper aims to simplify the image-tracker-robot registration procedure and improves the accuracy of ne...

Third-party networks collect vast amounts of data about users via web sites and mobile applications. Consolidations among tracker companies can significantly increase their individual tracking capabilities, prompting scrutiny by competition regulators. Traditional measures of market share, based on revenue or sales, fail to represent the tracking capability of a tracker, especially if it spans ...

This paper develops the two-dimensional (2D) clutter adaptive, multiframe Bayes detector/tracker for targets with random signature. We model the background clutter and the target signature as samples of two independent, spatially correlated, 2D noncausal Gauss-Markov random elds (GMrfs). The target's motion is modeled by a 2D hidden Markov model (HMM). We study, through Monte Carlo simulations,...

In [ 11, it was asserted that a spectral line tracker basedupon the maximum entropy spectral estimator provides a “significantimprovement in tracking performance” over a line tracker basedon theFourier transform spectral estimator. It is shown that the poor perfor-mance of the Fourier transform tracker wasdue in part to the particularimplementation of the tracker. In...

The Large Area Telescope (LAT) on board the Gamma-ray Large-Area Space Telescope (GLAST) is a pair-conversion gamma-ray detector designed to explore the gamma-ray universe in the 20 MeV– 300 GeV energy band. The Tracker subsystem of the LAT will perform tracking of electron and positrons to determine the origin of the gamma-ray. The design and performance of the GLAST LAT Tracker are described ...

In this paper, a new approach for quality assessment tasks in lossy compressed digital video is proposed. The research activity is based on the visual fixation data recorded by an eye tracker. The method involved both a new paradigm for subjective quality evaluation and the subsequent statistical analysis to match subjective scores provided by the observer to the data obtained from the eye trac...

This note describes a systematic study of the CMS tracker performance. It aims to evaluate the contribution of different factors, like the spatial resolution of the sensitive elements and the amount of material in the tracker, that affect the track finding efficiency and track parameter resolutions achievable with the CMS tracker. Layout V3 is studied with a detailed simulation of the tracker r...