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Multi-Object Tracking (MOT) has gained extensive attention in recent years due to its potential applications in traffic and pedestrian detection. We note that tracking by detection may suffer from errors generated by noise detectors, such…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 ZongTan Li

For most physical processes the tracks observed in the muon stations must be matched with the corresponding tracks in the inner tracker, the external muon system providing muon identification and triggering but the tracker points giving the…

High Energy Physics - Experiment · Physics 2016-08-31 A. Benvenuti , D. Denegri , V. Genchev , A. Khanov , N. Stepanov , P. Vankov

A new pixel detector for the CMS experiment was built in order to cope with the instantaneous luminosities anticipated for the Phase~I Upgrade of the LHC. The new CMS pixel detector provides four-hit tracking with a reduced material budget…

Instrumentation and Detectors · Physics 2017-06-02 M. Dragicevic , M. Friedl , J. Hrubec , H. Steininger , A. Gädda , J. Härkönen , T. Lampén , P. Luukka , T. Peltola , E. Tuominen , E. Tuovinen , A. Winkler , P. Eerola , T. Tuuva , G. Baulieu , G. Boudoul , L. Caponetto , C. Combaret , D. Contardo , T. Dupasquier , G. Gallbit , N. Lumb , L. Mirabito , S. Perries , M. Vander Donckt , S. Viret , C. Bonnin , L. Charles , L. Gross , J. Hosselet , D. Tromson , L. Feld , W. Karpinski , K. Klein , M. Lipinski , G. Pierschel , M. Preuten , M. Rauch , M. Wlochal , M. Aldaya , C. Asawatangtrakuldee , K. Beernaert , D. Bertsche , C. Contreras-Campana , G. Eckerlin , D. Eckstein , T. Eichhorn , E. Gallo , J. Garay Garcia , K. Hansen , M. Haranko , A. Harb , J. Hauk , J. Keaveney , A. Kalogeropoulos , C. Kleinwort , W. Lohmann , R. Mankel , H. Maser , G. Mittag , C. Muhl , A. Mussgiller , D. Pitzl , O. Reichelt , M. Savitskyi , P. Schütze , V. Sola , S. Spannagel , R. Walsh , A. Zuber , H. Biskop , P. Buhmann , M. Centis-Vignali , E. Garutti , J. Haller , M. Hoffmann , R. Klanner , T. Lapsien , M. Matysek , A. Perieanu , Ch. Scharf , P. Schleper , A. Schmidt , J. Schwandt , J. Sonneveld , G. Steinbrück , B. Vormwald , J. Wellhausen , M. Abbas , C. Amstutz , T. Barvich , Ch. Barth , F. Boegelspacher , W. De Boer , E. Butz , M. Casele , F. Colombo , A. Dierlamm , B. Freund , F. Hartmann , S. Heindl , U. Husemann , A. Kornmeyer , S. Kudella , Th. Muller , H. J. Simonis , P. Steck , M. Weber , Th. Weiler , T. Kiss , F. Siklér , T. Tölyhi , V. Veszprémi , P. Cariola , D. Creanza , M. De Palma , G. De Robertis , L. Fiore , M. Franco , F. Loddo , G. Sala , L. Silvestris , G. Maggi , S. My , G. Selvaggi , S. Albergo , G. Cappello , S. Costa , A. Di Mattia , F. Giordano , R. Potenza , M. A. Saizu , A. Tricomi , C. Tuve , E. Focardi , M. E. Dinardo , S. Fiorendi , S. Gennai , S. Malvezzi , R. A. Manzoni , D. Menasce , L. Moroni , D. Pedrini , P. Azzi , N. Bacchetta , D. Bisello , M. Dall'Osso , N. Pozzobon , M. Tosi , L. Alunni Solestizi , M. Biasini , G. M. Bilei , C. Cecchi , B. Checcucci , D. Ciangottini , L. Fanò , C. Gentsos , M. Ionica , R. Leonardi , E. Manoni , G. Mantovani , S. Marconi , V. Mariani , M. Menichelli , A. Modak , A. Morozzi , F. Moscatelli , D. Passeri , P. Placidi , V. Postolache , A. Rossi , A. Saha , A. Santocchia , L. Storchi , D. Spiga , K. Androsov , P. Azzurri , G. Bagliesi , A. Basti , T. Boccali , L. Borrello , F. Bosi , R. Castaldi , M. Ceccanti , M. A. Ciocci , R. Dell'Orso , S. Donato , G. Fedi , A. Giassi , M. T. Grippo , F. Ligabue , G. Magazzu , P. Mammini , F. Mariani , E. Mazzoni , A. Messineo , A. Moggi , F. Morsani , F. Palla , F. Palmonari , A. Profeti , F. Raffaelli , A. Ragonesi , A. Rizzi , A. Soldani , P. Spagnolo , R. Tenchini , G. Tonelli , A. Venturi , P. G. Verdini , D. Abbaneo , I. Ahmed , E. Albert , G. Auzinger , G. Berruti , J. Bonnaud , J. Daguin , A. D'Auria , S. Detraz , O. Dondelewski , B. Engegaard , F. Faccio , N. Frank , K. Gill , A. Honma , A. Kornmayer , A. Labaza , F. Manolescu , I. McGill , S. Mersi , S. Michelis , A. Onnela , M. Ostrega , S. Pavis , A. Peisert , J. -F. Pernot , P. Petagna , H. Postema , K. Rapacz , C. Sigaud , P. Tropea , J. Troska , A. Tsirou , F. Vasey , B. Verlaat , P. Vichoudis , L. Zwalinski , F. Bachmair , R. Becker , D. di Calafiori , B. Casal , P. Berger , L. Djambazov , M. Donega , C. Grab , D. Hits , J. Hoss , G. Kasieczka , W. Lustermann , B. Mangano , M. Marionneau , P. Martinez Ruiz del Arbol , M. Masciovecchio , M. Meinhard , L. Perozzi , U. Roeser , A. Starodumov , V. Tavolaro , R. Wallny , D. Zhu , K. Bösiger , L. Caminada , F. Canelli , V. Chiochia , A. de Cosa , C. Galloni , T. Hreus , B. Kilminster , C. Lange , R. Maier , J. Ngadiuba , D. Pinna , P. Robmann , S. Taroni , Y. Yang , W. Bertl , K. Deiters , W. Erdmann , R. Horisberger , H. -C. Kaestli , D. Kotlinski , U. Langenegger , B. Meier , T. Rohe , S. Streuli , P. -H. Chen , C. Dietz , F. Fiori , U. Grundler , W. -S. Hou , R. -S. Lu , M. Moya , J. -F. Tsai , Y. M. Tzeng , D. Cussans , J. Goldstein , M. Grimes , D. Newbold , P. Hobson , I. D. Reid , G. Auzinger , R. Bainbridge , P. Dauncey , G. Hall , T. James , A. -M. Magnan , M. Pesaresi , D. M. Raymond , K. Uchida , T. Durkin , K. Harder , C. Shepherd-Themistocleous , M. Chertok , J. Conway , R. Conway , C. Flores , R. Lander , D. Pellett , F. Ricci-Tam , M. Squires , J. Thomson , R. Yohay , K. Burt , J. Ellison , G. Hanson , M. Olmedo , W. Si , B. R. Yates , A. Dominguez , R. Bartek , B. Bentele , J. P. Cumalat , W. T. Ford , F. Jensen , A. Johnson , M. Krohn , S. Leontsinis , T. Mulholland , K. Stenson , S. R. Wagner , A. Apresyan , G. Bolla , K. Burkett , J. N. Butler , A. Canepa , H. W. K. Cheung , D. Christian , W. E. Cooper , G. Deptuch , G. Derylo , C. Gingu , S. Grünendahl , S. Hasegawa , J. Hoff , J. Howell , M. Hrycyk , S. Jindariani , M. Johnson , F. Kahlid , S. Kwan , C. M. Lei , R. Lipton , R. Lopes De Sá , T. Liu , S. Los , M. Matulik , P. Merkel , S. Nahn , A. Prosser , R. Rivera , B. Schneider , G. Sellberg , A. Shenai , K. Siehl , L. Spiegel , N. Tran , L. Uplegger , E. Voirin , D. R. Berry , X. Chen , L. Ennesser , A. Evdokimov , C. E. Gerber , S. Makauda , C. Mills , I. D. Sandoval Gonzalez , J. Alimena , L. J. Antonelli , B. Francis , A. Hart , C. S. Hill , N. Parashar , J. Stupak , D. Bortoletto , M. Bubna , N. Hinton , M. Jones , D. H. Miller , X. Shi , P. Baringer , A. Bean , S. Khalil , A. Kropivnitskaya , D. Majumder , E. Schmitz , G. Wilson , A. Ivanov , R. Mendis , T. Mitchell , N. Skhirtladze , R. Taylor , I. Anderson , D. Fehling , A. Gritsan , P. Maksimovic , C. Martin , K. Nash , M. Osherson , M. Swartz , M. Xiao , J. G. Acosta , L. M. Cremaldi , S. Oliveros , L. Perera , D. Summers , K. Bloom , D. R. Claes , C. Fangmeier , R. Gonzalez Suarez , J. Monroy , J. Siado , E. Bartz , Y. Gershtein , E. Halkiadakis , S. Kyriacou , A. Lath , K. Nash , M. Osherson , S. Schnetzer , R. Stone , M. Walker , S. Malik , S. Norberg , J. E. Ramirez Vargas , M. Alyari , J. Dolen , A. Godshalk , C. Harrington , I. Iashvili , A. Kharchilava , D. Nguyen , A. Parker , S. Rappoccio , B. Roozbahani , J. Alexander , J. Chaves , J. Chu , S. Dittmer , K. McDermott , N. Mirman , A. Rinkevicius , A. Ryd , E. Salvati , L. Skinnari , L. Soffi , Z. Tao , J. Thom , J. Tucker , M. Zientek , B. Akgün , K. M. Ecklund , M. Kilpatrick , T. Nussbaum , J. Zabel , P. D'Angelo , W. Johns , K. Rose

Over the years, datasets and benchmarks have had an outsized influence on the design of novel algorithms. In this paper, we introduce ChairSegments, a novel and compact semi-synthetic dataset for object segmentation. We also show empirical…

Computer Vision and Pattern Recognition · Computer Science 2020-12-03 Leticia Pinto-Alva , Ian K. Torres , Rosangel Garcia , Ziyan Yang , Vicente Ordonez

Contrast pattern mining (CPM) aims to discover patterns whose support increases significantly from a background dataset compared to a target dataset. CPM is particularly useful for characterising changes in evolving systems, e.g., in…

Networking and Internet Architecture · Computer Science 2020-12-01 Elaheh AlipourChavary , Sarah M. Erfani , Christopher Leckie

This work considers the problem of decentralized online learning, where the goal is to track the optimum of the sum of time-varying functions, distributed across several nodes in a network. The local availability of the functions and their…

Machine Learning · Computer Science 2024-02-14 Shivangi Dubey Sharma , Ketan Rajawat

The performance of a small prototype of a cylindrical drift chamber (CDC) used in the COMET Phase-I experiment was studied by using an electron beam. The prototype chamber was constructed with alternating all-stereo wire configuration and…

Instrumentation and Detectors · Physics 2021-09-07 C. Wu , T. S. Wong , Y. Kuno , M. Moritsu , Y. Nakazawa , A. Sato , H. Sakamoto , N. H. Tran , M. L. Wong , H. Yoshida , T. Yamane , J. Zhang

Model Predictive Control (MPC) for tracking formulation presents numerous advantages compared to standard MPC, such as a larger domain of attraction and recursive feasibility even when abrupt changes in the reference are produced. As a…

Systems and Control · Electrical Eng. & Systems 2025-03-24 Victor Gracia , Pablo Krupa , Daniel Limon , Teodoro Alamo

After the Phase-2 high-luminosity upgrade to the Large Hadron Collider (LHC), the collision rate and therefore the background rate will significantly increase, particularly in the high $\eta$ region. To improve both the tracking and…

Instrumentation and Detectors · Physics 2021-12-08 M. Abbas , M. Abbrescia , H. Abdalla , A. Abdelalim , S. AbuZeid , A. Agapitos , A. Ahmad , A. Ahmed , W. Ahmed , C. Aimè , C. Aruta , I. Asghar , P. Aspell , C. Avila , J. Babbar , Y. Ban , R. Band , S. Bansal , L. Benussi , V. Bhatnagar , M. Bianco , S. Bianco , K. Black , L. Borgonovi , O. Bouhali , A. Braghieri , S. Braibant , S. Butalla , S. Calzaferri , M. Caponero , J. Carlson , F. Cassese , N. Cavallo , S. S. Chauhan , S. Colafranceschi , A. Colaleo , A. Conde Garcia , M. Dalchenko , A. De Iorio , G. De Lentdecker , D. Dell Olio , G. De Robertis , W. Dharmaratna , S. Dildick , B. Dorney , R. Erbacher , F. Fabozzi , F. Fallavollita , A. Ferraro , D. Fiorina , E. Fontanesi , M. Franco , C. Galloni , P. Giacomelli , S. Gigli , J. Gilmore , M. Gola , M. Gruchala , A. Gutierrez , R. Hadjiiska , T. Hakkarainen , J. Hauser , K. Hoepfner , M. Hohlmann , H. Hoorani , T. Huang , P. Iaydjiev , A. Irshad , A. Iorio , F. Ivone , W. Jang , J. Jaramillo , A. Juodagalvis , E. Juska , B. Kailasapathy , T. Kamon , Y. Kang , P. Karchin , A. Kaur , H. Kaur , H. Keller , H. Kim , J. Kim , S. Kim , B. Ko , A. Kumar , S. Kumar , N. Lacalamita , J. S. H. Lee , A. Levin , Q. Li , F. Licciulli , L. Lista , K. Liyanage , F. Loddo , M. Luhach , M. Maggi , Y. Maghrbi , N. Majumdar , K. Malagalage , S. Malhotra , S. Martiradonna , C. McLean , J. Merlin , M. Misheva , G. Mocellin , L. Moureaux , A. Muhammad , S. Muhammad , S. Mukhopadhyay , M. Naimuddin , S. Nuzzo , R. Oliveira , P. Paolucci , I. C. Park , L. Passamonti , G. Passeggio , A. Peck , A. Pellecchia , N. Perera , L. Petre , H. Petrow , D. Piccolo , D. Pierluigi , G. Raffone , M. Rahmani , F. Ramirez , A. Ranieri , G. Rashevski , B. Regnery , M. Ressegotti , C. Riccardi , M. Rodozov , E. Romano , C. Roskas , B. Rossi , P. Rout , J. D. Ruiz , A. Russo , A. Safonov , A. K. Sahota , D. Saltzberg , G. Saviano , A. Shah , A. Sharma , R. Sharma , T. Sheokand , M. Shopova , F. M. Simone , J. Singh , U. Sonnadara , E. Starling , B. Stone , J. Sturdy , G. Sultanov , Z. Szillasi , D. Teague , D. Teyssier , T. Tuuva , M. Tytgat , I. Vai , N. Vanegas , R. Venditti , P. Verwilligen , W. Vetens , A. K. Virdi , P. Vitulo , A. Wajid , D. Wang , K. Wang , I. J. Watson , N. Wickramage , D. D. C. Wickramarathna , S. Yang , U. Yang , Y. Yang , J. Yongho , I. Yoon , Z. You , I. Yu , S. Zaleski

Achieving both efficiency and strong discriminative ability in lightweight visual tracking is a challenge, especially on mobile and edge devices with limited computational resources. Conventional lightweight trackers often struggle with…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Juntao Liang , Jun Hou , Weijun Zhang , Yong Wang

Small-diameter muon drift tube (sMDT) chambers are a cost-effective technology for high-precision muon tracking. The rate capability of the sMDT chambers has been extensively tested at the Gamma Irradiation Facility at CERN in view of…

Instrumentation and Detectors · Physics 2016-11-15 Oliver Kortner , Hubert Kroha , Felix Müller , Sebastian Nowak , Robert Richter

In this paper, we propose an efficient online multi-object tracking framework based on the GMPHD filter and occlusion group management scheme where the GMPHD filter utilizes hierarchical data association to reduce the false negatives caused…

Computer Vision and Pattern Recognition · Computer Science 2020-09-02 Young-min Song , Kwangjin Yoon , Young-Chul Yoon , Kin-Choong Yow , Moongu Jeon

For identification and 3D-tracking of low-energy electrons a new type of gas-based detector was designed that minimizes scattering and energy loss. The current version of the detector is a combination of a plastic scintillator, serving as a…

Instrumentation and Detectors · Physics 2022-09-21 D. Rozpedzik , L. De Keukeleere , K. Bodek , L. Hayen , K. Lojek , M. Perkowski , N. Severijns

Multi-Camera Multi-Target (MCMT) tracking aims to locate and associate the same targets across multiple camera views. Existing methods typically adopt a two-stage framework, involving single-camera tracking followed by inter-camera…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Yihao Zhen , Mingyue Xu , Qiang Wang , Baojie Fan , Jiahua Dong , Tinghui Zhao , Huijie Fan

Triple-GEM detectors for the GE2/1 and ME0 stations of the endcap muon system for the Phase-2 upgrade of the CMS Experiment have been operated in a test beam to measure their efficiency and spatial resolution, together with a high spatial…

Instrumentation and Detectors · Physics 2022-11-23 Antonello Pellecchia , Piet Verwilligen , Anna Stamerra

We consider decentralized machine learning over a network where the training data is distributed across $n$ agents, each of which can compute stochastic model updates on their local data. The agent's common goal is to find a model that…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-09 Anastasia Koloskova , Tao Lin , Sebastian U. Stich

Segmented electromagnetic calorimeters are used to determine both the total energy and direction (momentum components) of charged particles and photons. A trade off is involved in selecting the degree of segmentation of the calorimeter as…

Instrumentation and Detectors · Physics 2008-11-26 E. Frlez , M. Bychkov , D. Pocanic

BESIII (BEijing Spectrometer III) is a particle physics experiment with a vast physics program centered around the study of charmonium and the $\tau$ lepton. The performance of the spectrometer's inner tracker, the innermost part of a large…

High Energy Physics - Experiment · Physics 2025-05-28 Stefano Gramigna

A track finding algorithm has been developed for reconstruction of e+e- pairs. It combines the information of the electromagnetic calorimeter with the information provided by the Tracker. Results on reconstruction efficiency of converted…

Data Analysis, Statistics and Probability · Physics 2017-08-23 Nancy Marinelli

In many applications of advanced robotic manipulation, six degrees of freedom (6DoF) object pose estimates are continuously required. In this work, we develop a multi-modality tracker that fuses information from visual appearance and…

Computer Vision and Pattern Recognition · Computer Science 2023-02-23 Manuel Stoiber , Mariam Elsayed , Anne E. Reichert , Florian Steidle , Dongheui Lee , Rudolph Triebel