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Classifying land development in high-resolution Satellite imagery using hybrid structural-multispectral features

C. Unsalan, K.L. Boyer
2004 IEEE Transactions on Geoscience and Remote Sensing  
We test the hybrid features in a range of parametric and nonparametric classifiers. We also implement and test a probabilistic relaxation algorithm followed by the maximum a priori decision rule.  ...  and the theoretical development of the linearized NDVI appear elsewhere).  ...  One natural choice would be to use the Hough transform for this purpose [23] . The Hough transform is a robust estimator for finding lines broken by noise, clutter, and occlusion.  ... 
doi:10.1109/tgrs.2004.835224 fatcat:reeppbnpxzb3tfp7nycwqqtkyu

Derivation, calibration and verification of macroscopic model for urban traffic flow. Part 2 [article]

Andrey E. Alekseenko, Yaroslav A. Kholodov, Aleksandr S. Kholodov, Anna I. Goreva, Alexander A. Kurzhanskiy, Yuriy V. Chehovich, Vsevolod M. Starozhilets
2015 arXiv   pre-print
The proposed approach was validated in simulation using stationary detection data and GPS traces from the Moscow Ring Road.  ...  Thus calibrated model adequately represents the three phases of traffic: free flow, synchronized flow and the wide moving jam.  ...  Progressive probabilistic Hough transform In classical Hough transform for straight line detection (Hough, 1959; Duda and Hart, 1972) , the input image is mapped into Hough space (r, θ) of all possible  ... 
arXiv:1610.08085v1 fatcat:ylz7dtkfnfdxnkeahl3gsf5pqe

Probabilistic Relaxation Labeling: A Short Survey on Object Recognition

Abbas Zohrevand
2019 International Journal of Computer Applications  
The Probabilistic Relaxation Labeling (PRL) is one of the popular probabilistic approaches in matching among model and scene.  ...  In this paper we review two phase and report the most important works based PRL.  ...  The scene and model graph matching is accomplished using probabilistic relaxation which has been modified to minimize the label clutter.  ... 
doi:10.5120/ijca2019918387 fatcat:wyfril7umbgljouz2mkc5dtbfu

Contextual Junction Finder

J. Matas, J. Kittler
1992 Procedings of the British Machine Vision Conference 1992  
Probabilistic relaxation labelling scheme is used to combine the a priori world knowledge represented by contextual rules and the information contained in observed lines.  ...  The performance of the junction detection process is demonstrated on images from indoor, outdoor, and industrial environments.  ...  Figures (a), (b) and (c) show lines detected by Hough transform superimposed over the original image .  ... 
doi:10.5244/c.6.13 dblp:conf/bmvc/MatasK92 fatcat:qklevki7rbgknpjpmn7wzokipe

Contextual Junction Finder [chapter]

J. Matas, J. Kittler
1992 BMVC92  
Probabilistic relaxation labelling scheme is used to combine the a priori world knowledge represented by contextual rules and the information contained in observed lines.  ...  The performance of the junction detection process is demonstrated on images from indoor, outdoor, and industrial environments.  ...  Figures (a), (b) and (c) show lines detected by Hough transform superimposed over the original image .  ... 
doi:10.1007/978-1-4471-3201-1_13 fatcat:mebrhmm6lzfvfbu3q6gchl3e7m

Probabilistic feature-labelling schemes: modelling compatibility coefficient distributions

W.J. Christmas, J. Kittler, M. Petrou
1996 Image and Vision Computing  
P Bosdogianni, M Petrou and J Kittler, 1997. "Classification of sets of mixed pixels with the hypothesis testing Hough transform".  ...  "An optimization approach to im- proving the accuracy of the Hough transform: plane orientations from skew symmetry."  ... 
doi:10.1016/0262-8856(96)01093-1 fatcat:3pspqryysrhxhpot4okgg4grga

Linking Visual Cues and Semantic Terms Under Specific Digital Video Domains

2000 Journal of Visual Languages and Computing  
Well-known algorithms have been implemented and enhanced for feature extraction, as well as a novel probabilistic approach to color naming.  ...  This kind of tasks require the development of video data representation models which include the relationships between low level visual cues and the semantic concepts inferred from them.  ...  The authors want to thank L. Vilches for so many interesting talks about semiotics and commercials, as well as D. Guillamet, J. Gonzàlez, F. Pañella and M.  ... 
doi:10.1006/jvlc.2000.0157 fatcat:c7o6pu7n6nclrp2pxy22wpkzje

Page 1068 of Mathematical Reviews Vol. , Issue 95b [page]

1995 Mathematical Reviews  
On the basis of this scheme, we are able to explore constant-time Hough transform algorithms on a PARBS.  ...  [Lin, Shun Shii] (RC-NTN-IN; Taipei) Constant-time Hough transform on the processor arrays with reconfigurable bus systems. (English and German summaries) Computing 52 (1994), no. 1, 1-15.  ... 

A fast right ventricle segmentation in cine-MRI from a dense hough representation

Fabio Martínez Carrillo, Alejandra Moreno Tarazona, Luis Carlos Guayacán Chaparro, Lola Xiomara Bautista Rozo, Jean Alejandro Pico
2022 Revista Politécnica  
This work introduces a dense Hough transform and representation (HT) that allows a nonparametric characterization of the shape, encoding each voxel by its curvature and orientation.  ...  Segmentation of the right ventricle (RV) is essential for the diagnosis of multiple cardiac pathologies and conditions.  ...  ACKNOWLEDGEMENTS The authors acknowledge the Vicerrectoria de Investigación y Extensión (VIE) of the Universidad Industrial de Santander for supporting this research work by the project: "Predicción de  ... 
doi:10.33571/rpolitec.v18n35a6 fatcat:puapmshnonhq7dqu7rvptt3s7y

Flexible Spatial Configuration of Local Image Features

G. Carneiro, A.D. Jepson
2007 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We compare our methods to the Hough transform, which is an efficient and effective mismatch rejection step based on the global spatial configuration of features.  ...  Local image features have been designed to be informative and repeatable under rigid transformations and illumination deformations.  ...  Fig. 8 . 8 Second comparison between our mismatch rejection algorithms and the Hough transform.  ... 
doi:10.1109/tpami.2007.1126 pmid:17934220 fatcat:pnz2mcjj4jfitjhv5y26tdzule

A Hough transform-based voting framework for action recognition

Angela Yao, Jue Gall, Luc Van Gool
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
We present a method to classify and localize human actions in video using a Hough transform voting framework.  ...  The leaves of the trees form a discriminative multi-class codebook that share features between the action classes and vote for action centers in a probabilistic manner.  ...  Acknowledgements The authors would like to thank Thomas Brox for sharing his code for optical flow. This research has been supported by funding from the Swiss National Foundation NCCR project IM2.  ... 
doi:10.1109/cvpr.2010.5539883 dblp:conf/cvpr/YaoGG10 fatcat:7d6slbftqvhbzafwsykupd2laq

Hand Action Detection from Ego-centric Depth Sequences with Error-correcting Hough Transform [article]

Chi Xu, Lakshmi Narasimhan Govindarajan, Li Cheng
2016 arXiv   pre-print
We address this problem via a Hough transform based approach coupled with a discriminatively learned error-correcting component to tackle the well known issue of incorrect votes from the Hough transform  ...  To facilitate reproduction, the new dataset and our implementation are also provided online.  ...  Consider for example the large-margin formulation of Hough Transform in [44] , which amounts to being a relaxation of (1) to non-probabilistic function forms: by reducing p(y|c k , l i ) to p(y|c k ),  ... 
arXiv:1606.02031v1 fatcat:vtz2cdrg5bcshpfnwtoet6srky

Shadow extraction and application in pedestrian detection

Junqiu Wang, Yasushi Yagi
2014 EURASIP Journal on Image and Video Processing  
We detect pedestrians using appearance information of pedestrians and shape information of shadow regions. Then, we filter the detection results based on motion information if available.  ...  The proposed method gives low false-positives due to the integration of different features.  ...  The part-based and Hough transform-based methods fail to achieve high recall curve values in the data set.  ... 
doi:10.1186/1687-5281-2014-12 fatcat:5kujdpztojepvl7eg7qzw5qreu

Statistical Hough Transform

R. Dahyot
2009 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The Standard Hough Transform is a popular method in image processing and is traditionally estimated using histograms.  ...  Second, when dependencies in between variables are well taken into account, the estimated density is also robust to noise and insensitive to the choice of the origin of the spatial coordinates.  ...  ACKNOWLEDGMENTS This work has been supported by the Enterprise Ireland Innovation Partnership IP-2006-412 and a Research Google Award.  ... 
doi:10.1109/tpami.2008.288 pmid:19542582 fatcat:n2kyacaawrfkjlbe2dbkktya5u

Scale-invariant proximity graph for fast probabilistic object recognition

Jerome Revaud, Guillaume Lavoué, Ariki Yasuo, Atilla Baskurt
2010 Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10  
The matching process is made hierarchical in order to increase both speed and detection performances.  ...  Experiments demonstrates that the method outperforms state-of-the-art specific object detectors in terms of precision-recall measures and detection time.  ...  on probabilistic relaxation.  ... 
doi:10.1145/1816041.1816102 dblp:conf/civr/RevaudLAB10 fatcat:aakwjnslejhdvhn5uslm72l5c4
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