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Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking [chapter]

Hanzi Wang, David Suter, Konrad Schindler
2006 Lecture Notes in Computer Science  
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

Zefeng Ni, Santhoshkumar Sunderrajan, Amir Rahimi, B.S. Manjunath
2010 2010 IEEE International Conference on Image Processing  
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

G.Mallikarjuna Rao, Ch. Satyanarayana
2013 International Journal of Image Graphics and Signal Processing  
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

Xian-guo YU, Qi-feng YU, Liang XIE, Jin-bo LIU
2017 DEStech Transactions on Computer Science and Engineering  
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

Yu Huang, J. Llach
2008 2008 International Conference on Audio, Language and Image Processing  
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

Yidi Li, Hong Liu, Bing Yang, Runwei Ding, Yang Chen
2020 Complexity  
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

Guofeng Wang, Xueying Qin, Fan Zhong, Yue Liu, Hongbo Li, Qunsheng Peng, Ming-Hsuan Yang
2015 IEEE Transactions on Image Processing  
., 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

Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang
2018 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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

Wen-Yan Chang, Chu-Song Chen, Yi-Ping Hung
2006 18th International Conference on Pattern Recognition (ICPR'06)  
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]

Behzad Bozorgtabar, Roland Goecke
2015 Lecture Notes in Computer Science  
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

Jinshi Cui, Zengqi Sun
2004 Optics Communications  
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

Mohammed Lahraichi, Khalid Housni, Samir Mbarki
2018 International Journal of Intelligent Engineering and Systems  
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

Zulfiqar Hasan Khan, Irene Yu-Hua Gu
2011 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)  
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

Hanzi Wang, D. Suter
2006 18th International Conference on Pattern Recognition (ICPR'06)  
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

Mohamed A. Naiel, M. Omair Ahmad, M. N. S. Swamy, Yi Wu, Ming-Hsuan Yang
2014 2014 IEEE International Conference on Image Processing (ICIP)  
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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