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Correlation-based self-correcting tracking

Tewodros A. Biresaw, Andrea Cavallaro, Carlo S. Regazzoni
2015 Neurocomputing  
We present a framework for improving probabilistic tracking of an extended object with a set of model points.  ...  A model point tracker gets assistance from neighboring trackers whenever a degradation in its performance is detected using the online performance measure.  ...  In addition to this, offline trackers produce two or more tracklets for a single marker and result in a higher D as compared with online trackers that produce tracks equal to the number of markers.  ... 
doi:10.1016/j.neucom.2014.10.057 fatcat:dnj5ttcmungcfocj7c2p2pcwo4

Bayesian environment representation, prediction, and criticality assessment for driver assistance systems

Matthias Schreier
2017 at - Automatisierungstechnik  
They are obtained by a novel method for grid mapping and tracking in dynamic environments.  ...  Bayesian inference provides the common framework of all designed methods.  ...  IMM-UK-PDAF-Based Tracking The tracking itself is performed with an IMM-UK-PDAF as introduced in Section 3.2.3 and sketched in Fig. 3 .9, p. 57.  ... 
doi:10.1515/auto-2016-0129 fatcat:3ekhvcltd5bsnfrrcrx7s5twoi

Bayesian Multi-Object Filtering With Amplitude Feature Likelihood for Unknown Object SNR

Daniel Clark, Branko Ristic, Ba-Ngu Vo, Ba Tuong Vo
2010 IEEE Transactions on Signal Processing  
in better tracking performance of low SNR targets.  ...  We present simulation results for Gaussian mixture implementations of the filters that demonstrate a significant improvement in performance over just using location measurements.  ...  ACKNOWLEDGEMENTS The authors wish to thank James Hopgood at the University of Edinburgh for introducing them to the Jeffreys  ... 
doi:10.1109/tsp.2009.2030640 fatcat:4kvwtwa5q5flrebilx7xb7vlme

Joint Power and Bandwidth Allocation of Asynchronous Radar Network for Target Tracking in Clutter

Hao Sun, Ming Li, Lei Zuo, Runqing Cao
2019 IET radar, sonar & navigation  
Numerical results verify the validity of the proposed JPBA strategy for target tracking by ARN.  ...  In this study, the authors propose a joint power and bandwidth allocation (JPBA) strategy to track a target by ARN in clutter.  ...  Acknowledgments This work was supported in part by the National Natural Science Foundation of China under Grant no. 61871307, by the Aeronautical Science Foundation of China under Grant no. 20170181001  ... 
doi:10.1049/iet-rsn.2019.0038 fatcat:glhiocenx5aqlaewd6l4pecr5y

Incorporating Data Uncertainty in Object Tracking Algorithms [article]

Anish Muthali, Forrest Laine, Claire Tomlin
2021 arXiv   pre-print
Object tracking methods rely on measurement error models, typically in the form of measurement noise, false positive rates, and missed detection rates.  ...  Methodologies for incorporating the uncertainties characteristic of data-driven object detectors into object tracking algorithms are explored.  ...  and contributions in demonstrating our method on the Caravan Test Platform.  ... 
arXiv:2109.10521v2 fatcat:ryvqclyaazeifhrstjdp5axmku

Context-Aware Visual Tracking

Ming Yang, Ying Wu, Gang Hua
2009 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Our extensive experiments have exhibited exciting performance in very challenging realworld testing cases.  ...  Auxiliary objects have three properties, at least in a short time interval: 1) persistent co-occurrence with the target, 2) consistent motion correlation to the target, and 3) easy to track.  ...  ACKNOWLEDGMENTS This work was supported in part by the US National Science Foundation under Grant IIS-0347877 and Grant IIS-0308222 and in part by OMRON.  ... 
doi:10.1109/tpami.2008.146 pmid:19443919 fatcat:2dd6tzkm5ngrhicahmjn2y3v6y

Front Matter: Volume 6968

Proceedings of SPIE, Ivan Kadar
2008 Signal Processing, Sensor Fusion, and Target Recognition XVII  
Publication of record for individual papers is online in the SPIE Digital Library.  ...  SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print and on CD-ROM.  ...  Clutter is often countered with Doppler processing for clutter rejection and/or clutter tracking.  ... 
doi:10.1117/12.802000 fatcat:zlmg3s3uqfcclmvostwlok6vx4

Cooperative Multi-Sensor Tracking of Vulnerable Road Users in the Presence of Missing Detections

Martin Dimitrievski, David Van Van Hamme, Peter Veelaert, Wilfried Philips
2020 Sensors  
Experimental evaluation shows a significant improvement in both detection and tracking performance over multiple control algorithms.  ...  In low light situations, the cooperative fusion outperforms intermediate fusion by as much as 30%, while increases in tracking performance are most significant in complex traffic scenes.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/s20174817 pmid:32858942 pmcid:PMC7506590 fatcat:iqsjgckxkfgjhisk3cru4w5o2u

Multi-appearance Segmentation and Extended 0-1 Program for Dense Small Object Tracking [article]

Longtao Chen, Jing Lou, Wei Zhu, Qingyuan Xia, Mingwu Ren
2017 arXiv   pre-print
Aiming to address the fast multi-object tracking for dense small object in the cluster background, we review track orientated multi-hypothesis tracking(TOMHT) with consideration of batch optimization.  ...  Experimental results verify the strength of our methods, indicating speed and performance advantages of our tracker.  ...  Han Sun from Department of Electrical and Computer Engineering, Nanjing University of Aeronautics and Astronautics, who provided part of video in experiment data.  ... 
arXiv:1712.05116v1 fatcat:ufirhuqkrje4pgckgr2usvdlqu

Mathematical Models and Monte-Carlo Algorithms for Improved Detection of Targets in the Commercial Maritime Domain

Lyudmil Vladimirov
2021
The engineering challenge tackled by the PhD project reported in this thesis was to study and experiment with models that are well placed to capitalise on the abilities of Particle Filters and to develop  ...  The Monte-Carlo nature of Particle Filters places them as the ideal candidate for solving the highly non-linear, non-Gaussian problems encountered by modern VTMS systems.  ...  Filter (EKF) to perform prediction and update of tracks. • PDAF-UKF-CH: A Probabilistic Data Association Filter (PDAF) using the CH model and an Unscented Kalman Filter (UKF) to perform prediction and  ... 
doi:10.17638/03118824 fatcat:dugu3s3ewfg5dpoufekhly2tqu

Speed Analogic Algorithms Speed Analogic Algorithms Speed Analogic Algorithms Speed Analogic Algorithms for Multitarget for Multitarget for Multitarget for Multitarget Tracking and Offline Handw Tracking and Offline Handw Tracking and Offline Handw Tracking and Offline Handwriting Segmentation riting Segmentation riting Segmentation riting Segmentation

Gergely Dissertation, Tímár, Csaba Rekeczky
2006 unpublished
Csaba Rekeczky for introducing me to the world of CNNs, for the many thoughtful discussions, the many ideas that grew into some of the algorithms in this dissertation and the adventurous trips.  ...  Dávid Bálya for his throrough and constructive comments on a prior version of the manuscript, and together with György Cserey  ...  Many versions of this filter exist, the PDA for single tracks, Joint PDA (JPDA) for multiple tracks, Integrated PDAF etc. [25] , [31] .  ... 
fatcat:wnuydsolwzezbggznlx2yzn5gy

BTLD+:A BAYESIAN APPROACH TO TRACKING LEARNING DETECTION BY PARTS [article]

GIORGIO GEMIGNANI
2014
iv pearance Tracking. We proposed different approaches based on the Tracking Learning Detection (TLD) decomposition proposed in [55] .  ...  The former searches for local features between consecutive frames in order to localize the target; the latter exploits an on-line appearance model to detect confident hypothesis over the entire image.  ...  Part II: • In chapter 4 we propose a bayesian approach to tracking learning detection (BTLD).  ... 
doi:10.13130/gemignani-giorgio_phd2014-03-18 fatcat:jv5pguvocfb4lerka6fj4dkqvi

Sequential estimation techniques and application to multiple speaker tracking and language modeling [article]

Youssef Oualil, Universität Des Saarlandes, Universität Des Saarlandes
2018
Sequential Bayesian estimation framework to solve the multiple speaker localization, detection and tracking problem.  ...  This framework was developed to tackle the low overlap detection rate of multiple speakers and to reduce the number of constraints generally imposed in standard solutions. II.  ...  and tracking performance, can be dealt with in two different ways, namely, either 1) by increasing the robustness of tracking filters to clutter and noise, which can be achieved using multiple hypothesis  ... 
doi:10.22028/d291-27228 fatcat:oo7sbvq6nrbtjc54tzwwi74rwa

Multimodal Probabilistic Person Tracking and Identification in Smart Spaces

Keni Bernardin
2009
In this thesis, a new methodology is introduced for the multimodal tracking and identification of multiple persons by seeking and integrating reliable ID cues whenever they become observable.  ...  The method opportunistically integrates person-specific identification cues that can only sparsely be observed for each person over time and keeps track of the location of identified persons while ID cues  ...  Even using state of the art systems, in natural indoor scenarios with a sufficient amount of clutter, persons may be not be accurately detected, false tracks may be wrongfully initialized, tracks may get  ... 
doi:10.5445/ir/1000018373 fatcat:r2ufltiwj5doffifpguamvbhca

Multitarget Tracking Using Orientation Estimation for Optical Belt Sorting

Florian Pfaff
2019
In optical belt sorting, accurate predictions of the bulk material particles' motions are required for high-quality results.  ...  To this end, new estimators for directional quantities based on orthogonal basis functions are presented and shown to outperform the state of the art.  ...  data association filter (PDAF) [BP99, Section 6.6.1] for single-target tracking.  ... 
doi:10.5445/ksp/1000094502 fatcat:wdq25sktwzfvvpqoplihngt7mi