On the public citation graph
Measurement integration under inconsistency for robust tracking
0 signed · 48 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bfb0015549openalex-snapshot
Contour tracking by stochastic propagation of conditional density
inferredcites →https://doi.org/10.1007/s11263-006-0006-zopenalex-snapshot
A Component-based Framework for Face Detection and Identification
inferredcites →https://doi.org/10.1016/s1566-2535(03)00036-8openalex-snapshot
Covariance consistency methods for fault-tolerant distributed data fusion
inferredcites →https://doi.org/10.1023/b:visi.0000016147.97880.cdopenalex-snapshot
Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference Learning
inferredcites →https://doi.org/10.1109/acc.1997.609105openalex-snapshot
A non-divergent estimation algorithm in the presence of unknown correlations
inferredcites →https://doi.org/10.1109/cvpr.2001.990537openalex-snapshot
Component-based face detection
inferredcites →https://doi.org/10.1109/cvpr.2001.990953openalex-snapshot
Mixtures of trees for object recognition
inferredcites →https://doi.org/10.1109/cvpr.2003.1211338openalex-snapshot
Nonparametric information fusion for motion estimation
inferredcites →https://doi.org/10.1109/cvpr.2004.1315063openalex-snapshot
Tracking loose-limbed people
inferredcites →https://doi.org/10.1109/iccv.2003.1238471openalex-snapshot
Tracking articulated body by dynamic Markov network
inferredcites →https://doi.org/10.1109/tit.2003.815774openalex-snapshot
Optimal linear estimation fusion. I. Unified fusion rules
inferredcites →https://doi.org/10.1109/tpami.2005.3openalex-snapshot
An information fusion framework for robust shape tracking
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/aic.12358openalex-snapshot
Bayesian method for multirate data synthesis and model calibration
inferred← citeshttps://doi.org/10.1007/s11042-016-3464-5openalex-snapshot
Tracking in multimedia data via robust reweighted local multi-task sparse representation for transportation surveillance
inferred← citeshttps://doi.org/10.1007/s11434-008-0309-2openalex-snapshot
Perceptual stimulus — A Bayesian-based integration of multi-visual-cue approach and its application
inferred← citeshttps://doi.org/10.1016/j.cviu.2008.11.003openalex-snapshot
Probabilistic fusion-based parameter estimation for visual tracking
inferred← citeshttps://doi.org/10.1016/j.cviu.2015.03.010openalex-snapshot
Collaborative part-based tracking using salient local predictors
inferred← citeshttps://doi.org/10.1016/j.cviu.2015.10.004openalex-snapshot
Learning weighted part models for object tracking
inferred← citeshttps://doi.org/10.1016/j.ijleo.2016.11.197openalex-snapshot
Image segmentation and proto-objects detection based visual tracking
inferred← citeshttps://doi.org/10.1016/j.imavis.2013.09.008openalex-snapshot
Learning structured visual dictionary for object tracking
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.01.069openalex-snapshot
Online classification for object tracking based on superpixel
inferred← citeshttps://doi.org/10.1049/iet-cvi.2014.0017openalex-snapshot
Tracking with spatial constrained coding
inferred← citeshttps://doi.org/10.1109/access.2017.2675438openalex-snapshot
Robust Adaptive Fusion Tracking Based on Complex Cells and Keypoints
inferred← citeshttps://doi.org/10.1109/avss.2016.7738065openalex-snapshot
Visual tracking based on object appearance and structure preserved local patches matching
inferred← citeshttps://doi.org/10.1109/cvpr.2006.157openalex-snapshot
Intelligent Collaborative Tracking by Mining Auxiliary Objects
inferred← citeshttps://doi.org/10.1109/cvpr.2013.306openalex-snapshot
Part-Based Visual Tracking with Online Latent Structural Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2014.164openalex-snapshot
Partial Occlusion Handling for Visual Tracking via Robust Part Matching
inferred← citeshttps://doi.org/10.1109/cvpr.2014.446openalex-snapshot
Visual Tracking Using Pertinent Patch Selection and Masking
inferred← citeshttps://doi.org/10.1109/cvpr.2015.7299124openalex-snapshot
Real-time part-based visual tracking via adaptive correlation filters
inferred← citeshttps://doi.org/10.1109/iccv.2007.4408955openalex-snapshot
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
inferred← citeshttps://doi.org/10.1109/iccv.2009.5459475openalex-snapshot
Multimodal partial estimates fusion
inferred← citeshttps://doi.org/10.1109/iccwamtip.2013.6716609openalex-snapshot
Part-based multi-target tracking with structured learning
inferred← citeshttps://doi.org/10.1109/iros.2007.4399248openalex-snapshot
Vehicle tracking using stochastic fusion-based particle filter
inferred← citeshttps://doi.org/10.1109/tcsvt.2007.903781openalex-snapshot
Adaptive Multifeature Tracking in a Particle Filtering Framework
inferred← citeshttps://doi.org/10.1109/tcsvt.2011.2129410openalex-snapshot
Adaptive Object Tracking by Learning Hybrid Template Online
inferred← citeshttps://doi.org/10.1109/tcsvt.2016.2527358openalex-snapshot
Part-Based Robust Tracking Using Online Latent Structured Learning
inferred← citeshttps://doi.org/10.1109/tcsvt.2016.2540978openalex-snapshot
Adaptive Local Movement Modeling for Robust Object Tracking
inferred← citeshttps://doi.org/10.1109/tip.2013.2253478openalex-snapshot
Visual Tracking With Spatio-Temporal Dempster–Shafer Information Fusion
inferred← citeshttps://doi.org/10.1109/tpami.2017.2716350openalex-snapshot
Gracker: A Graph-Based Planar Object Tracker
inferred← citeshttps://doi.org/10.1109/tsmcb.2008.2005417openalex-snapshot
Tracking by Parts: A Bayesian Approach With Component Collaboration
inferred← citeshttps://doi.org/10.1109/wacv.2014.6836013openalex-snapshot
Consensus-based matching and tracking of keypoints for object tracking
inferred← citeshttps://doi.org/10.22144/ctu.jvn.2017.140openalex-snapshot
Nghiên cứu ứng dụng kỹ thuật theo dõi đối tượng xây dựng hệ thống camera giám sát thông minh
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amr.1044-1045.1302openalex-snapshot
Reverse Validation Based Adaptive Particle Filter Algorithm for Object Tracking
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.