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Fast Full-Search Equivalent Template Matching by Enhanced Bounded Correlation

Stefano Mattoccia, Federico Tombari, Luigi Di Stefano
2008 IEEE Transactions on Image Processing  
Experimental results show that the proposed algorithm can significantly accelerate a full-search equivalent template matching process and outperforms state-of-the-art methods.  ...  We propose a novel algorithm, referred to as enhanced bounded correlation (EBC), that significantly reduces the number of computations required to carry out template matching based on normalized cross  ...  Fast Full-Search Equivalent Template Matching by Enhanced Bounded Correlation Stefano Mattoccia, Member, IEEE, Federico Tombari, Student Member, IEEE, and Luigi Di Stefano received June 21, 2007; revised  ... 
doi:10.1109/tip.2008.919362 pmid:18390361 fatcat:hnjaz45s5ngu3acthbvugx3heu

Reliable rejection of mismatching candidates for efficient ZNCC template matching

Stefano Mattoccia, Federico Tombari, Luigi Di Stefano
2008 2008 15th IEEE International Conference on Image Processing  
This paper presents a method that reduces the computational cost of template matching based on the Zero-mean Normalized Cross-Correlation (ZNCC) without compromising the accuracy of the results.  ...  In the next section a novel fast exhaustive technique, known as Zero-mean Enhanced Bounded Correlation (ZEBC), is proposed.  ...  The standard algorithm, or Full-Search (FS), used to perform ZNCC-based template matching simply scans the image and at each point (x, y) it computes the ZNCC-score between the template vector and the  ... 
doi:10.1109/icip.2008.4711888 dblp:conf/icip/MattocciaTS08 fatcat:apnvdgqkdjf5roqhhfi2jamdo4

Fast identification algorithms for forensic applications

Fokko Beekhof, Sviatoslav Voloshynovskiy, Oleksiy Koval, Taras Holotyak
2009 2009 First IEEE International Workshop on Information Forensics and Security (WIFS)  
A framework for forensic applications is presented, followed by a review of optimal and existing fast algorithms.  ...  In this work a novel fast search algorithm is proposed that is designed to offer improved performance in terms of identification accuracy whilst maintaining acceptable speed for forensic applications involving  ...  Acknowledgments This work is supported by SNF projects 111643 and 1119770.  ... 
doi:10.1109/wifs.2009.5386480 dblp:conf/wifs/BeekhofVKH09 fatcat:ccu4rgwz6zc4hfnis7xvoy27sa

High-throughput subtomogram alignment and classification by Fourier space constrained fast volumetric matching

Min Xu, Martin Beck, Frank Alber
2012 Journal of Structural Biology  
Building on previous work, here we propose a fast rotational alignment method that uses the Fourier equivalent form of a popular constrained correlation measure that considers missing wedge corrections  ...  to fast rotational matching of projected 2D spherical images.  ...  F.A. is a Pew Scholar in Biomedical Sciences, supported by the Pew Charitable Trusts.  ... 
doi:10.1016/j.jsb.2012.02.014 pmid:22420977 pmcid:PMC3821800 fatcat:ybvilvisajfs5p4idcnlflzcae

Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking

Javed Ahmed, M. N. Jafri, Mubarak Shah, Muhammad Akbar
2007 Machine Vision and Applications  
We present a robust framework for a real-time visual tracking system, based on a BPNNcontrolled fast normalized correlation (BCFNC) algorithm and a predictive open-loop carfollowing control (POL-CFC) strategy  ...  The search for the target is carried out in a dynamically generated resizable search-window.  ...  Correlation-Based Template Matching In this section, we present a brief review of the correlation metrics for the template matching application, and discuss the proposed BPNN-controlled fast normalized  ... 
doi:10.1007/s00138-007-0072-4 fatcat:4mparnuxljampesniqgq2e4ogm

An Efficient Object Search in Video Using Template Matching

Nitin S. Ujgare, Swati P. Baviskar
2019 International Journal of Image Graphics and Signal Processing  
In next step, features are extracted from query image and using template matching algorithm it is compared with key frames. If the object is present in frame then it will display detected object.  ...  Max Path Search algorithm is used to remove the noise against classifier and Spatio-Temporal trajectories are used to improve object search.  ...  This research work is fully supported by the Government College of Engineering, Aurangabad and Nashik District Maratha Vidya Prasak Samaj's Karmaveer Adv.  ... 
doi:10.5815/ijigsp.2019.03.02 fatcat:5v2gpjd64zdq3mrjznmudccbzm

Timing Acquisition with Noisy Template for Ultra-Wideband Communications in Dense Multipath

Zhi Tian, Lin Wu
2005 EURASIP Journal on Advances in Signal Processing  
In this paper, we develop an efficient sampling strategy for correlation-based receivers to accomplish adequate energy capture at a low cost, using a noisy correlation template constructed directly from  ...  Merging our sampling operation based on noisy template with lowcomplexity timing acquisition schemes, we derive enhanced cyclostationarity-based blind synchronizers, as well as data-aided maximum likelihood  ...  ACKNOWLEDGMENT This work was supported by US NSF Grant no. CCR-0238174.  ... 
doi:10.1155/asp.2005.439 fatcat:5pqdowrb2jgy7ofqrzrv5r7aqq

Superfamily active site templates

Elaine C. Meng, Benjamin J. Polacco, Patricia C. Babbitt
2004 Proteins: Structure, Function, and Bioinformatics  
A clear advantage of basing structure searches on such active site templates rather than on fold similarity is the specificity with which superfamilies with distinct functional characteristics can be identified  ...  Using the enolase superfamily as a model system, we demonstrate that such a signature, or template, can identify superfamily members in structural databases with high sensitivity and specificity.  ...  This work was supported by NIH GM60595 (to P.C.B.).  ... 
doi:10.1002/prot.20099 pmid:15146493 fatcat:mnzou6o7znb7xcbaq7n6vevixi

Tenacious tagging of images via Mellin monomials [article]

Kieran G. Larkin, Peter A. Fletcher, Stephen J. Hardy
2014 arXiv   pre-print
The real signals are detected by correlation with complex Mellin monomial templates.  ...  The practical implementation achieves efficiencies through fast Fourier transform (FFT) correspondences such as the projection-slice theorem, the FFT correlation relation, and fast resampling via the chirp-z  ...  The research was conducted during their normal employment by Canon Information Systems Research Australia Pty Ltd.  ... 
arXiv:1208.5842v5 fatcat:gphd2ial6ncuxfeiuusd5icdoe

Enhanced Shift and Scale Tolerance for Rotation Invariant Polar Matching With Dual-Tree Wavelets

James D B Nelson, Nick G Kingsbury
2011 IEEE Transactions on Image Processing  
It can be used to facilitate both keypoint matching, neighbourhood search detection, or detection and tracking with particle filters.  ...  Polar matching is a recently developed shift and rotation invariant object detection method that is based on dual-tree complex wavelet transforms or equivalent multiscale directional filterbanks.  ...  Figure 7 shows correlation surfaces obtained by performing polar matching between the template and test image regions centred about the template.  ... 
doi:10.1109/tip.2010.2069711 pmid:20801741 fatcat:orzl4xjpl5bmfgczaq6fah3kxe

Visual Object Tracking by Fusion of Audio Imaging in Template Matching Framework

Satbir Singh, Dr.B R Ambedkar National Institute of Technology, Jalandhar, India, Arun Khosla, Rajiv Kapoor
2019 International Journal of Image Graphics and Signal Processing  
Firstly, an improved template matching based tracking is presented that takes care of the chaotic movements in the template-matching algorithm.  ...  We present here a method for object tracking application that fuses visual image with an audio image in the template-matching framework.  ...  Tracking using Correlation based Template matching For tracking in an individual domain, a fast template matching process was incorporated.  ... 
doi:10.5815/ijigsp.2019.08.04 fatcat:nchtyriynfgsrd5oghckshurx4

Active matching for visual tracking

Margarita Chli, Andrew J. Davison
2009 Robotics and Autonomous Systems  
In this paper we show that the dramatically different approach of using priors dynamically to guide a feature by feature matching search can achieve global matching with far fewer image processing operations  ...  In our fully Bayesian algorithm denoted Active Matching, the choice of the most efficient search action at each step is guided intuitively and rigorously by expected Shannon information gain.  ...  Acknowledgements This research was supported by EPSRC grant GR/T24685/01 and ERC Starting Grant 210346.  ... 
doi:10.1016/j.robot.2009.07.010 fatcat:e2ceoejydzegzfaafjyi3cysqe

End-to-end feature fusion siamese network for adaptive visual tracking [article]

Dongyan Guo, Jun Wang, Weixuan Zhao, Ying Cui, Zhenhua Wang, Shengyong Chen
2019 arXiv   pre-print
Finally, the corresponding response maps created by the convolution of the search region features and the template are applied with a fusion layer to obtain the final response map for locating the target  ...  Both features and the channel weights are utilized in a template generation layer to generate a discriminative template.  ...  Therefore, the discrimination of tracker can be improved by combining CNN and CF. The problem of solving the correlation filter template is equivalent to solving the ridge regression problem.  ... 
arXiv:1902.01057v1 fatcat:avdphbkhhba37i4wz34a5qgi5i

Part level transfer regularization for enhancing exemplar SVMs

Yusuf Aytar, Andrew Zisserman
2015 Computer Vision and Image Understanding  
This enhanced E-SVM (EE-SVM) improves the generalization ability of E-SVMs by softly forcing it to be constructed from existing classifier parts cropped from previously learned classifiers.  ...  In addition to transferring parts, we introduce a method for transferring the statistics between the parts and also show that there is an equivalence between transfer regularization and feature augmentation  ...  This linear search can be efficiently done using fast matrix multiplication since we have a limited number of vocabulary items.  ... 
doi:10.1016/j.cviu.2015.04.004 fatcat:ydqjvoehwjfflflb4rikbr24hm

Accurate Positioning Siamese Network for Real-Time Object Tracking

Lijun Zhou, Xuwen Yao, Jianlin Zhang
2019 IEEE Access  
This approach can better estimate the search candidate area of the object in the current frame from the previous tracking position and can keep tracking well for the fast moving object.  ...  High-level layers are full of rich semantic features which are suitable for classifying the objects.  ...  The authors express our thanks for the experiment equipment provided by the lab.  ... 
doi:10.1109/access.2019.2924147 fatcat:gfi4iaklqvhspmcn3jnf4sinma
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