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Benefiting from its ability to efficiently learn how an object is changing, correlation filters have recently demonstrated excellent performance for rapidly tracking objects. Designing effective features and handling model drifts are two…

Computer Vision and Pattern Recognition · Computer Science 2020-11-26 Xizhe Xue , Ying Li , Qiang Shen

A small set of final prototypes of the ATLAS Inner Detector silicon tracker (Pixel and SCT) were used to take data during the 2004 Combined Test Beam. Data were collected from runs with beams of different flavour (electrons, pions, muons…

Instrumentation and Detectors · Physics 2010-05-12 A. Ahmad , A. Andreazza , T. Atkinson , J. Baines , A. J. Barr , R. Beccherle , P. J. Bell , J. Bernabeu , Z. Broklova , P. A. Bruckman de Renstrom , D. Cauz , L. Chevalier , S. Chouridou , M. Citterio , A. Clark , M. Cobal , T. Cornelissen , S. Correard , M. J. Costa , D. Costanzo , S. Cuneo , M. Dameri , G. Darbo , J. B. de Vivie , B. Di Girolamo , D. Dobos , Z. Drasal , J. Drohan , K. Einsweiler , M. Elsing , D. Emelyanov , C. Escobar , K. Facius , P. Ferrari , D. Fergusson , D. Ferrere , T. Flick , D. Froidevaux , G. Gagliardi , M. Gallas , B. J. Gallop , K. K. Gan , C. Garcia , I. L. Gavrilenko , C. Gemme , P. Gerlach , T. Golling , S. Gonzalez-Sevilla , M. J. Goodrick , G. Gorfine , T. Goettfert , J. Grosse-Knetter , P. H. Hansen , K. Hara , R. Hartel , A. Harvey , R. J. Hawkings , F. E. W. Heinemann , T. Henns , J. C. Hill , F. Huegging , E. Jansen , J. Joseph , M. Karagoz Unel , M. Kataoka , S. Kersten , A. Khomich , R. Klingenberg , P. Kodys , T. Koffas , N. Konstantinidis , V. Kostyukhin , C. Lacasta , T. Lari , S. Latorre , C. G. Lester , W. Liebig , A. Lipniacka , K. F. Lourerio , M. Mangin-Brinet , S. Marti i Garcia , M. Mathes , C. Meroni , B. Mikulec , B. Mindur , S. Moed , G. Moorhead , P. Morettini , E. W. J. Moyse , K. Nakamura , P. Nechaeva , K. Nikolaev , F. Parodi , S. Parzhitski , J. Pater , R. Petti , P. W. Phillips , B. Pinto , A. Poppleton , K. Reeves , I. Reisinger , P. Reznicek , P. Risso , D. Robinson , S. Roe , A. Rozanov , A. Salzburger , H. Sandaker , L. Santi , C. Schiavi , J. Schieck , J. Schultes , A. Sfyrla , C. Shaw , F. Tegenfeldt , C. J. W. P. Timmermans , B. Toczek , C. Troncon , M. Tyndel , F. Vernocchi , J. Virzi , T. Vu Anh , M. Warren , J. Weber , M. Weber , A. R. Weidberg , J. Weingarten , P. S. Wells , A. Zhelezko

We propose a new algorithm for real-time detection and tracking of elliptic patterns suitable for real-world robotics applications. The method fits ellipses to each contour in the image frame and rejects ellipses that do not yield a good…

Robotics · Computer Science 2021-12-09 Azarakhsh Keipour , Guilherme A. S. Pereira , Sebastian Scherer

The central component of the CMS detector is the largest silicon tracker ever built. The precise alignment of this complex device is a formidable challenge, and only achievable with a significant extension of the technologies routinely used…

Instrumentation and Detectors · Physics 2014-08-22 CMS Collaboration

In this paper, we propose a new algorithm based on radial symmetry center method to track colloidal particles close to contact, where the optical images of the particles start to overlap in digital video microscopy. This overlapping effect…

Instrumentation and Detectors · Physics 2017-10-26 Harun Yücel , Nazmi Turan Okumuşoğlu

Adaptive Resonance Theory (ART) is considered as an effective approach for realizing continual learning thanks to its ability to handle the plasticity-stability dilemma. In general, however, the clustering performance of ART-based…

Machine Learning · Computer Science 2022-07-08 Naoki Masuyama , Narito Amako , Yuna Yamada , Yusuke Nojima , Hisao Ishibuchi

The simulation and analysis of High Energy Physics experiments require a realistic simulation of the detector material and its distribution. The challenge is to describe all active and passive parts of large scale detectors like ATLAS in…

In this paper, we present an algorithm which lies in the domain of task allocation for a set of static autonomous radars with rotating antennas. It allows a set of radars to allocate in a fully decentralized way a set of active tracking…

Multiagent Systems · Computer Science 2022-05-12 Pierre Larrenie , Cédric Buron , Frédéric Barbaresco

The ATLAS Pixel Detector is the innermost layer of the ATLAS tracking system and will contribute significantly to the ATLAS track and vertex reconstruction. The detector consists of identical sensor-chip-hybrid modules, arranged in three…

Instrumentation and Detectors · Physics 2014-11-18 J. Grosse-Knetter

The ALICE detector was designed to track and identify particles in a wide transverse momentum range, from more than 100 GeV/c down to ~100 MeV/c. The innermost barrel-like detector, the Inner Tracking System (ITS), is dedicated to precise…

Instrumentation and Detectors · Physics 2019-08-13 Andrea Rossi

Tracking-by-detection has become an attractive tracking technique, which treats tracking as a category detection problem. However, the task in tracking is to search for a specific object, rather than an object category as in detection. In…

Computer Vision and Pattern Recognition · Computer Science 2015-10-13 Changxin Gao , Feifei Chen , Jin-Gang Yu , Rui Huang , Nong Sang

Autonomous robots enjoy a wide popularity nowadays and have been applied in many applications, such as home security, entertainment, delivery, navigation and guidance. It is vital to robots to track objects accurately in these applications,…

Computer Vision and Pattern Recognition · Computer Science 2016-08-11 Mengmeng Wang , Yong Liu

Iterative learning control (ILC) is a control strategy for repetitive tasks wherein information from previous runs is leveraged to improve future performance. Optimization-based ILC (OB-ILC) is a powerful design framework for constrained…

Systems and Control · Electrical Eng. & Systems 2022-05-27 Dominic Liao-McPherson , Efe C. Balta , Alisa Rupenyan , John Lygeros

Several factors can contribute to the difficulty of aligning the sensors of tracking detectors, including a large number of modules, multiple types of detector technologies, and non-linear strip patterns on the sensors. All three of these…

Instrumentation and Detectors · Physics 2024-04-04 S. J. Paul , A. Peck , M. Arratia , Y. Gotra , V. Ziegler , R. De Vita , F. Bossu , M. Defurne , H. Atac , C. Ayerbe Gayoso , L. Baashen , N. A. Baltzell , L. Barion , M. Bashkanov , M. Battaglieri , I. Bedlinskiy , B. Benkel , F. Benmokhtar , A. Bianconi , L. Biondo , A. S. Biselli , M. Bondi , S. Boiarinov , K. Th. Brinkmann , W. J. Briscoe , W. K. Brooks , D. Bulumulla , V. D. Burkert , R. Capobianco , D. S. Carman , J. C. Carvajal , P. Chatagnon , V. Chesnokov , T. Chetry , G. Ciullo , P. L. Cole , G. Costantini , A. D Angelo , N. Dashyan , A. Deur , S. Diehl , C. Djalali , R. Dupre , A. El Alaoui , L. El Fassi , L. Elouadrhiri , A. Filippi , K. Gates , G. Gavalian , Y. Ghandilyan , G. P. Gilfoyle , A. A. Golubenko , G. Gosta , R. W. Gothe , K. Griffioen , M. Guidal , H. Hakobyan , M. Hattawy , F. Hauenstein , T. B. Hayward , D. Heddle , A. Hobart , M. Holtrop , Y. Ilieva , D. G. Ireland , E. L. Isupov , H. S. Jo , R. Johnston , K. Joo , D. Keller , M. Khachatryan , A. Khanal , A. Kim , W. Kim , V. Klimenko , A. Kripko , L. Lanza , M. Leali , P. Lenisa , X. Li , I. J. D. MacGregor , D. Marchand , L. Marsicano , V. Mascagna , B. McKinnon , C. McLauchlin , S. Migliorati , T. Mineeva , M. Mirazita , V. Mokeev , C. Munoz Camacho , P. Nadel-Turonski , P. Naidoo , K. Neupane , D. Nguyen , S. Niccolai , M. Nicol , G. Niculescu , M. Osipenko , P. Pandey , M. Paolone , R. Paremuzyan , N. Pilleux , O. Pogorelko , M. Pokhrel , J. Poudel , J. W. Price , Y. Prok , T. Reed , M. Ripani , J. Ritman , F. Sabatie , S. Schadmand , A. Schmidt , E. V. Shirokov , U. Shrestha , P. Simmerling , M. Spreafico , D. Sokhan , N. Sparveris , I. I. Strakovsky , S. Strauch , J. A. Tan , R. Tyson , M. Ungaro , S. Vallarino , L. Venturelli , H. Voskanyan , E. Voutier , D. P. Watts , X. Wei , R. Wishart , M. H. Wood , N. Zachariou

As in other estimation scenarios, likelihood based estimation in the normal mixture set-up is highly non-robust against model misspecification and presence of outliers (apart from being an ill-posed optimization problem). A robust…

Methodology · Statistics 2023-12-20 Soumya Chakraborty , Ayanendranath Basu , Abhik Ghosh

The contruction of the ATLAS Pixel Detector which is the innermost layer of the ATLAS tracking system is prgressing well. Because the pixel detector will contribute significantly to the ATLAS track and vertex reconstruction. The detector…

Instrumentation and Detectors · Physics 2015-06-26 Fabian Huegging

The ATLAS Pixel Detector is the innermost layer of the ATLAS tracking system and will contribute significantly to the ATLAS track and vertex reconstruction. The detector consists of identical sensor-chip-hybrid modules, arranged in three…

Instrumentation and Detectors · Physics 2014-11-18 J. Grosse-Knetter

The ATLAS experiment, at the Large Hadron Collider, will incorporate discrete, high-resolution tracking sub-systems in the form of segmented silicon detectors with 40MHz radiation-hard readout electronics. In the region closest to the pp…

High Energy Physics - Experiment · Physics 2007-05-23 John Richardson , representing the ATLAS Pixel Project

The basic principle of operation of silicon sensors with resistive read-out is built-in charge sharing. Resistive Silicon Detectors (RSD, also known as AC-LGAD), exploiting the signals seen on the electrodes surrounding the impact point,…

We present an algorithm to estimate the rotation pole of a principal-axis rotator using silhouette images collected from multiple camera poses. First, a set of images is stacked to form a single silhouette-stack image, where the object's…

Computer Vision and Pattern Recognition · Computer Science 2025-02-06 Jacopo Villa , Jay W. McMahon , Issa A. D. Nesnas