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Filters
Enhanced Laplacian Group Sparse Learning with Lifespan Outlier Rejection for Visual Tracking
[chapter]
2015
Lecture Notes in Computer Science
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By representing the target object sparsely, utilising only a few adaptive dictionary templates, in this paper, we introduce a new particle filter based tracking method, in which we aim to capture the underlying ...
In addition, since the new target object can be well modelled by the most recent tracking results, we prefer to utilise the particle samples that are highly associated to the preceding tracking results ...
In [1] , a target candidate is represented as a sparse linear combination of object templates and trivial templates. ...
doi:10.1007/978-3-319-16814-2_37
fatcat:toefrs5rfrei5ja46vrbydpyuy
Visual Tracking via Sparse and Local Linear Coding
2015
IEEE Transactions on Image Processing
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The state search is an important component of any object tracking algorithm. ...
The algorithm is modeled by an optimal function, which can be efficiently solved by either convex sparse coding or locality constrained linear coding. ...
VISUAL TRACKING BY SPARSE AND LOCAL LINEAR CODING Intuitively, representation of an object in continuous space should be more precise than in discrete space. ...
doi:10.1109/tip.2015.2445291
pmid:26353352
fatcat:gbjakgb6ezenpj3ywoskw3hp7q
Robust infrared vehicle tracking across target pose change using L1 regularization
2010
2010 13th International Conference on Information Fusion
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First, in the particle filter (PF) framework, pose information is explicitly modelled into the state space which significantly improves the effectiveness of particle sampling and propagation. ...
Second, a probabilistic template update scheme is designed, which helps alleviating drift caused by a target pose change. ...
Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the ONR. ...
doi:10.1109/icif.2010.5711902
fatcat:nbm5lbmi2zfx3ifujz5wfchgme
In Defense of Sparse Tracking: Circulant Sparse Tracker
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Sparse representation has been introduced to visual tracking by finding the best target candidate with minimal reconstruction error within the particle filter framework. ...
However, most sparse representation based trackers have high computational cost, less than promising tracking performance, and limited feature representation. ...
Acknowledgments Research in this publication was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research. ...
doi:10.1109/cvpr.2016.421
dblp:conf/cvpr/ZhangBG16
fatcat:ebm6uwsmr5hr3fkkbmiw26rola
Multi-View Structural Local Subspace Tracking
2017
Sensors
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In this paper, we propose a multi-view structural local subspace tracking algorithm based on sparse representation. ...
The optimization problem can be well solved by the customized APG (accelerated proximal gradient) methods together with an iteration manner. ...
Object Tracking via the Proposed MSLM Our tracking method is based on the Bayesian filtering framework. ...
doi:10.3390/s17040666
pmid:28333088
pmcid:PMC5419779
fatcat:txgmsggatbfrla5jboby4ri4im
Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle
2015
Pattern Recognition
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2016 pre-print arXiv:1604.04144v1 fatcat:unnd3bnkhvclxnjex5dznahtgy
Subsequently, the observational model is integrated into a particle filter framework to peform visual tracking. ...
Visual representation is crucial for a visual tracking method's performances. Conventionally, visual representations adopted in visual tracking rely on hand-crafted computer vision descriptors. ...
In Fig. 1(c) , tracking is performed by sampling tracking candidates via particle filtering. ...
doi:10.1016/j.patcog.2015.02.012
fatcat:26lq2q5uvnduxcdtiqttm3cgui
Robust Visual Tracking via Implicit Low-Rank Constraints and Structural Color Histograms
[article]
2019
arXiv
pre-print
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However, the construction of effective temporal appearance model is still challenging on account of filter degeneration becomes a significant factor that causes tracking failures in the DCF framework. ...
With the guaranteed discrimination and efficiency of spatial appearance model, Discriminative Correlation Filters (DCF-) based tracking methods have achieved outstanding performance recently. ...
Recently, sparse linear representation methods combining with the particle filter framework via solving 1 -norm minimization problem have been proposed for object tracking [9] . ...
arXiv:1912.11343v1
fatcat:3pb25zcxibe7rct4tv7ty7l7fy
A survey of appearance models in visual object tracking
2013
ACM Transactions on Intelligent Systems and Technology
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Despite extensive research on this topic, it still suffers from difficulties in handling complex object appearance changes caused by factors such as illumination variation, partial occlusion, shape deformation ...
In particular, this survey takes a module-based architecture that enables readers to easily grasp the key points of visual object tracking. ...
In general, local template-based visual representations are to represent an object region using a set of part templates. ...
doi:10.1145/2508037.2508039
fatcat:uwptu4nkmbhjvib5szoafjhg3i
A Survey of Appearance Models in Visual Object Tracking
[article]
2013
arXiv
pre-print
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In particular, this survey takes a module-based architecture that enables readers to easily grasp the key points of visual object tracking. ...
Visual object tracking is a significant computer vision task which can be applied to many domains such as visual surveillance, human computer interaction, and video compression. ...
In general, local template-based visual representations are to represent an object region using a set of part templates. ...
arXiv:1303.4803v1
fatcat:tx333ej63faufnxffjttac4jxq
Minimum error bounded efficient ℓ1 tracker with occlusion detection
2011
CVPR 2011
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First, the minimum error bound is quickly calculated from a linear least squares equation, and serves as a guide for particle resampling in a particle filter framework. ...
Recently, sparse representation has been applied to visual tracking to find the target with the minimum reconstruction error from the target template subspace. ...
In [11] , an efficient method is introduced for using subspace representations in a particle filter by applying Rao-Blackwellization to integrate out the subspace coefficients in the state vector. ...
doi:10.1109/cvpr.2011.5995421
dblp:conf/cvpr/MeiLWBB11
fatcat:5vgq3jz5hngw5em25vshz7ls6a
Low-Rank Representation-Based Object Tracking Using Multitask Feature Learning with Joint Sparsity
2014
Abstract and Applied Analysis
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We address object tracking problem as a multitask feature learning process based on low-rank representation of features with joint sparsity. ...
Experimental results demonstrate that the proposed method outperforms existing state-of-the-art tracking methods for tracking objects in challenging image sequences. ...
However, in the object tracking process, some candidates are completely different from others when particles are sampled from an abnormally large region. ...
doi:10.1155/2014/147353
fatcat:dwuh6xpzmrahpmr5ki7uzut334
Visual Tracking via Probability Continuous Outlier Model
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition
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In this paper, we present a novel online visual tracking method based on linear representation. ...
Then, we derive the objective function of the PCOM method, the solution of which can be iteratively obtained by the outlier-free least squares and standard maxflow/min-cut steps. ...
[6] , particle filter [16] ) ; (2) an observation model, which represents the tracked object and evaluates the likelihood of each candidate state in the current frame. ...
doi:10.1109/cvpr.2014.445
dblp:conf/cvpr/WangL14
fatcat:ru7ipnfgync5vmzd7xpqosrdcq
A Novel Appearance Model and Adaptive Condensation Algorithm for Human Face Tracking
2008
2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems
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We present an adaptive framework for condensation algorithms in the context of human face tracking. ...
In addition, local linearity of an appearance manifold is used in conjunction with a new criterion to select a tangent plane for updating an appearance in face tracking. ...
Ross from University of Toronto for granting the permission to use his videos and parts of his source code. ...
doi:10.1109/btas.2008.4699372
fatcat:cm3xtr7tw5fcthxaruaqf2c2xq
Efficient Minimum Error Bounded Particle Resampling L1 Tracker With Occlusion Detection
2013
IEEE Transactions on Image Processing
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First, the minimum error bound is calculated from a linear least squares equation and serves as a guide for particle resampling in a particle filter framework. ...
Recently, sparse representation has been applied to visual tracking to find the target with the minimum reconstruction error from a target template subspace. ...
This work was supported in part by NSF Grants IIS-0916624 and IIS-1218156. ...
doi:10.1109/tip.2013.2255301
pmid:23549892
fatcat:6vl2id6qszgy5k5r3lyrwgyskm
Robust Visual Tracking and Vehicle Classification via Sparse Representation
2011
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this paper, we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. ...
Specifically, to find the tracking target in a new frame, each target candidate is sparsely represented in the space spanned by target templates and trivial templates. ...
David Jacobs and Albert Montillo for proofreading the manuscript, and anonymous reviewers for valuable suggestions. This work is supported in part by NSF Grants IIS-0916624 and IIS-1049032. ...
doi:10.1109/tpami.2011.66
pmid:21422491
fatcat:ijis3qhshrc7lmujfxzmuys7ru
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