Robust Object Tracking with Online Multiple Instance Learning

Keywords

Artificial intelligence, Computer science, Classifier (UML), Discriminative model, Video tracking

References

• Special Invited Paper-Additive logistic regression: A statistical view of boostingJerome H. Friedman — 2000
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• Keywords to visual categories: Multiple-instance learning forweakly supervised object categorizationSudheendra Vijayanarasimhan, Kristen Grauman — 2008
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• Object tracking: A surveyAlper Yılmaz, Omar Javed, Mubarak Shah — 2006
• Real-Time Tracking via On-line BoostingHelmut Gräbner, Michael Grabner, Horst Bischof — 2006
• The template update problemIain Matthews, Takuji Ishikawa, Sara M. Baker — 2004
• The Pascal Visual Object Classes (VOC) ChallengeMark Everingham, Luc Van Gool, Christopher K. I. Williams — 2009
• Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognitionSeverin Stalder, Helmut Gräbner, Luc Van Gool — 2009
• On robustness of on-line boosting - a competitive studyChristian Leistner, Amir Saffari, Peter M. Roth — 2009
• Robust online appearance models for visual trackingAllan D. Jepson, David J. Fleet, T.R. El-Maraghi — 2001
• Efficient Region Tracking With Parametric Models of Geometry and IlluminationGregory D. Hager, Peter N. Belhumeur — 1998
• Deformable Surface Tracking AmbiguitiesMathieu Salzmann, Vincent Lepetit, Pascal Fua — 2007
• Support Vector Machines for Multiple-Instance LearningStuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann — 2002
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• BraMBLe: a Bayesian multiple-blob trackerMichael Isard, John MacCormick — 2001
• Online selecting discriminative tracking features using particle filterJianyu Wang, Xilin Chen, Wen Gao — 2005
• A discriminatively trained, multiscale, deformable part modelPedro F. Felzenszwalb, David McAllester, Deva Ramanan — 2008
• An Adaptive Appearance Model Approach for Model-based Articulated Object TrackingAlexandru O. Bălan, Michael J. Black — 2006

Cited by

• PageRank Tracker: From Ranking to TrackingUwe H. Schneider — 2014
• NUS-PRO: A New Visual Tracking ChallengeSilvia Lidia González — 2016
• Accelerated Object Tracking with Local Binary FeaturesBreton Minnehan — 2014
• The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object ModelingWillie Neiswanger, Frank Wood, Eric P. Xing — 2014
• Ré-identification de personnes : Application aux réseaux de caméras à champs disjointsBoris Meden — 2013
• A Study of Exploiting Objectness for Robust Online Object TrackingRaghu Kiran Yalamanchili — 2013
• Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series DataNaiyan Wang, Dit‐Yan Yeung — 2014
• Algoritmos para la clasificación multiinstanciaDánel Sánchez Tarragó — 2014
• Robust object tracking with depth dataJ. V. Egmond — 2014
• A Real-Time Active Pedestrian Tracking System Inspired by the Human Visual SystemYuxia Wang, Qingjie Zhao, Bo Wang — 2016
• Robust visual tracking via online multiple instance learning with Fisher informationChao Xu, Wenyuan Tao, Zhaopeng Meng — 2015
• Robust tracking based on local structural cell graphHeng Fan, Jinhai Xiang, Honghong Liao — 2015
• Tracking and Structure from MotionAndreas Weishaupt, Luigi Bagnato, Emmanuel d'Angelo — 2010
• Computational Modeling of Human Dorsal Pathway for Motion ProcessingYuheng Wang — 2013
• CNNTracker: Online discriminative object tracking via deep convolutional neural networkYan Chen, Xiangnan Yang, Bineng Zhong — 2016
• Multi-local-task learning with global regularization for object trackingShunli Zhang, Yao Sui, Sicong Zhao — 2015
• Future directions in Multiple Instance LearningDavid Chiu, Iker Gondra, Tao Xu — 2013
• Enhanced fast compressive tracking based on adaptive measurement matrixYun Gao, Hao Zhou, Xuejie Zhang — 2015
• Two dimensional ensemble hashing for visual trackingChao Ma, Chuancai Liu, Furong Peng — 2016
• Two-person interaction recognition via spatial multiple instance embeddingFadime Şener, Nazlı İkizler-Cinbiş — 2015

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