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Filters
Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking
[chapter]
2006
Lecture Notes in Computer Science
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This appearance model and the similarity measure are used in a framework of Bayesian probability for tracking natural objects. ...
Experiments show that our method can successfully track objects despite changes in foreground appearance, clutter, occlusion, etc.; and that it outperforms several colorhistogram based methods. ...
Chunhua Shen for his valuable comments, and the ARC for support (grant DP0452416). ...
doi:10.1007/11744078_47
fatcat:nvop2swrxreopofacntuljnsvm
Distributed particle filter tracking with online multiple instance learning in a camera sensor network
2010
2010 IEEE International Conference on Image Processing
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At each camera node, an efficient online multiple instance learning algorithm is integrated with particle filter for camera's image plane tracking. ...
To improve the tracking accuracy, each camera node shares its particle states with others and fuses multi-camera information locally. ...
At each camera node, multiple instance learning is effectively coupled with particle filter for local image plane tracking. Particles are shared across different cameras. ...
doi:10.1109/icip.2010.5652578
dblp:conf/icip/NiSRM10
fatcat:5n6iapwoe5hefeijx4nnoqufd4
Visual Object Target Tracking Using Particle Filter: A Survey
2013
International Journal of Image Graphics and Signal Processing
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This paper gives the survey of the existing developments of Visual object target tracking using particle filter from the last decade and discusses the advantage and disadvantages of various particle filters ...
MSPF with model updating shows good performance for color changes, similar color appearance and cluttered backgrounds. ...
applications. 42
A Robust Particle Filter-Based Method for Tracking Single Visual Object Through Complex Scenes Using Dynamical Object Shape and Appearance Similarity[64] The authors employed a fully ...
doi:10.5815/ijigsp.2013.06.08
fatcat:olg4prc5pjghza3pwzi6cigvky
Deformable Patch-based NCC Measure for Visual Tracking
2017
DEStech Transactions on Computer Science and Engineering
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In particular, we extend the traditional NCC measure with deformable part-based models (DPM) to get a new image similarity measurement and feed it into the particle filtering framework for visual object ...
Experimental results show that the proposed similarity measure is effective for visual tracking under challenging scenarios. ...
Acknowledgment This work is supported by the National Key Scientific Instrument and Equipment Development Project under Grant No. 2013YQ140517. ...
doi:10.12783/dtcse/cmee2016/5341
fatcat:iivhkvapavcg5fq7fpmsktwisu
Tracking the small object through clutter with adaptive particle filter
2008
2008 International Conference on Audio, Language and Image Processing
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We also propose a mixture model to account for multiple hypotheses in the template correlation surface when estimating the appearance likelihood. ...
In this paper, we propose an adaptive particle filter with effective proposal distribution to handle these situations. ...
The efficiency and accuracy of a particle filter for tracking relies on the definition of a good proposal distribution and an effective observation model for particle weights. ...
doi:10.1109/icalip.2008.4589956
fatcat:au7bfgbjxrbfhenqegfzfctzgm
Deep Metric Learning-Assisted 3D Audio-Visual Speaker Tracking via Two-Layer Particle Filter
2020
Complexity
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For speaker tracking, integrating multimodal information from audio and video provides an effective and promising solution. ...
To this end, we propose a 3D audio-visual speaker tracker assisted by deep metric learning on the two-layer particle filter framework. ...
In the proposed observation model, the similarity measures of the template and the particle diffusion areas are calculated to update weights of audio particles and visual particles. e template that adapts ...
doi:10.1155/2020/3764309
fatcat:ggnkyo2z2nbublaodrmf4bx35i
Visual Tracking via Sparse and Local Linear Coding
2015
IEEE Transactions on Image Processing
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., particle filters) are arguably one of the most effective approaches. However, the discretization of the state space complicates the search for the precise object location. ...
Next, two other object representation models, i.e., least soft-threshold squares and adaptive structural local sparse appearance, are implemented with improved accuracy to demonstrate the flexibility of ...
Observation Space Model of Particle Filter Object tracking involves identifying the target in the observation space that is visually similar to the templates. ...
doi:10.1109/tip.2015.2445291
pmid:26353352
fatcat:gbjakgb6ezenpj3ywoskw3hp7q
Learning Multi-task Correlation Particle Filters for Visual Tracking
2018
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this paper, we propose a multi-task correlation particle filter (MCPF) for robust visual tracking. ...
Compared with existing tracking methods based on correlation filters and particle filters, the proposed MCPF enjoys several merits. ...
To account for large appearance change for visual tracking, the IVT method [27] is proposed to learn an incremental subspace model. ...
doi:10.1109/tpami.2018.2797062
pmid:29994598
fatcat:chpzxggpubgj3opd3dwic55w74
Discriminative Descriptor-Based Observation Model for Visual Tracking
2006
18th International Conference on Pattern Recognition (ICPR'06)
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Varying illumination and partial occlusion are two main difficulties in visual tracking. ...
By integrating the local descriptor information into the observation model, our method is effective under varying illumination and partial occlusions. ...
Acknowledgments: This work was supported in part under grants NSC 95-2752-E-002-007-PAE and 95-EC-17-A-02-S1-032. ...
doi:10.1109/icpr.2006.455
dblp:conf/icpr/ChangCH06
fatcat:kxhqnhfuofhy7af3d5nhuw3j44
Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking
[chapter]
2015
Lecture Notes in Computer Science
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Recently, sparse based learning methods have attracted much attention in robust visual tracking due to their effectiveness and promising tracking results. ...
structure among the particle samples using the proposed similarity graph in a Laplacian group sparse framework, such that the tracking results can be improved. ...
The likelihood (observation) model p (z t |s t ) reflects the similarity measure for the tracking target. ...
doi:10.1007/978-3-319-16814-2_37
fatcat:toefrs5rfrei5ja46vrbydpyuy
Model-based visual hand posture tracking for guiding a dexterous robotic hand
2004
Optics Communications
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It utilizes a genetic algorithm-based global optimization procedure after each particle-filtering step, which deals with the tracking in high-dimensional and multi-modal state space reasonably well. ...
Visual hand gesture based interfaces have been widely used for navigation of virtual environments and control of a robot arm in robotic systems. ...
Our approach adopts a 3D model-based framework with full-DOF kinematic model and an effective measurement method based on chamfer distance for both silhouette and edges. ...
doi:10.1016/j.optcom.2004.02.083
fatcat:e4ihsfjyczbcdpad4gbet7nnie
Visual Tracking Using Particle Filter Based on Gabor Features
2018
International Journal of Intelligent Engineering and Systems
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The visual and numerical results obtained are compared with those of traditional particle filter method, and show that our method is very efficient particularly in case of similar objects, and clearly ...
Particle filter, based on color histogram, is considered among multiple approaches that prove their effectiveness in this domain. ...
using a similarity measure between the tracked descriptor and each particle descriptor. ...
doi:10.22266/ijies2018.0831.15
fatcat:derq77bhzvfbhom4wiqzpf3hzu
Tracking visual and infrared objects using joint Riemannian manifold appearance and affine shape modeling
2011
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)
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Two particle filters are alternatingly employed for tracking dynamic objects. ...
Main contributions of the paper include: (a) propose an online appearance learning strategy by a particle filter on the manifold; (b) an object tracker that incorporates the manifold appearance for prediction ...
[6] uses a particle filter (PF) [7] and an affine invariant metric [2] on a SPD Riemannian manifold for finding the similarity of covariance matrices and tracking the location, width and height ...
doi:10.1109/iccvw.2011.6130473
dblp:conf/iccvw/KhanG11a
fatcat:mjrnxfppb5fqxmadnersqn63ku
Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues
2006
18th International Conference on Pattern Recognition (ICPR'06)
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We integrate this shape similarity measure with our recently proposed SMOG-based color similarity measure in the framework of particle filter (PF). ...
Experimental results demonstrate the high robustness and effectiveness of our method in handling appearance changes, cluttered background, moving camera, and occlusions. ...
Chunhua Shen for his valuable comments, and the ARC for support (grant DP0452416). ...
doi:10.1109/icpr.2006.486
dblp:conf/icpr/WangS06c
fatcat:siz3ps5ls5fv7eg54fnbydqeny
Online multi-person tracking via robust collaborative model
2014
2014 IEEE International Conference on Image Processing (ICIP)
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In this paper, we present a model for collaboration between a pre-trained object detector and multiple single object trackers in the particle filter tracking framework. ...
Then, a likelihood function provides different weights for the propagated and the newly created particles, reducing the effect of false positives and missed detections in the tracking process. ...
The probability hypothesis density (PHD) filter [11] has been incorporated for visual multi-target tracking in [9, 12] . ...
doi:10.1109/icip.2014.7025086
dblp:conf/icip/NaielASWY14
fatcat:w3ewneqtoncg7b3gb5j4pnw45y
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