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Accurate Segmentation of Moving Objects in Image Sequence Based on Spatio-Temporal Information

Dongxiang Zhou, Hong Zhang
2006 2006 International Conference on Mechatronics and Automation  
Our approach performs an initial segmentation using background subtraction method of the Gaussian mixture model (GMM).  ...  Accurate segmentation of moving objects in an image sequence is a crucial task in many computer vision and image analysis applications such as the mineral processing industry and automated visual surveillance  ...  In object segmentation, only the foreground label F and background B are considered. After background subtraction, the region labeling is improved by MRF method.  ... 
doi:10.1109/icma.2006.257611 fatcat:vvrabt5ngrgapfc5inlkwot6gy

Robust Background Subtraction Using Geodesic Active Contours in ICA Subspace for Video Surveillance Applications

Hicham Sekkati, Robert Laganière, Amar Mitiche, Richard Youmaran
2012 2012 Ninth Conference on Computer and Robot Vision  
The method uses a single reference image but the change detection process allows change in the background including illumination changes and dynamic scenes.  ...  Current background subtraction methods require background modeling to handle dynamic backgrounds.  ...  Experiments have shown that this does not happen when successive image differencing techniques are used along with geodesic curve evolution.  ... 
doi:10.1109/crv.2012.33 dblp:conf/crv/SekkatiLMY12 fatcat:yoeaejgkwfb7no7l35yye62hse

Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging

Y. Hu, M. Jung, A. Oukili, G. Yang, J.-C. Nunes, J. Fehrenbach, G. Peyre, M. Bedossa, L. Luo, C. Toumoulin, L. D. Cohen
2012 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)  
Firstly, a minimal path segmentation step extracts artery tree boundaries. Secondly, a MAP reconstruction comparing L0-norm and L1-norm priors is applied on this extracted coronary tree.  ...  This paper deals with the 3D reconstruction of sparse data in X-ray rotational imaging.  ...  Then, the background is estimated to build background subtracted images and deal with sparse data.  ... 
doi:10.1109/isbi.2012.6235670 dblp:conf/isbi/HuJOYNFPBLTC12 fatcat:ibac6ke74nbvrdq74xnolcuyha

Analysis And Optimisation Of 3D Reconstruction Method Of The Aorta From A Tomographic Images ¡

W. Puech, Guy Passail, V. Ricordel
2015 Zenodo  
The transition aorta-background presents a too light contrast to use this method.  ...  Contours tracking in the images sequence The contour of the sequence previous image is used to initialise the active contour in the current image.  ... 
doi:10.5281/zenodo.37286 fatcat:jftdyjlornbd5ji5xavg7ujdva

ViBE: A powerful random technique to estimate the background in video sequences

Olivier Barnich, Marc Van Droogenbroeck
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
Experiment detailed in this paper show how our method improves on other widely used techniques, and how it outperforms these techniques for noisy images.  ...  In this paper, we present a powerful method for background extraction that improves in accuracy and reduces the computational load.  ...  Robustness against noise To be able to objectively compare EGMM and ViBe in noisy conditions, we produced ground truth segmentation maps of an outdoor sequence using a blue-screen like process.  ... 
doi:10.1109/icassp.2009.4959741 dblp:conf/icassp/BarnichD09a fatcat:xe46jveuljcghagigeeclvqg7m

Detection and tracking of moving objects in a maritime environment using level set with shape priors

Duncan Frost, Jules-Raymond Tapamo
2013 EURASIP Journal on Image and Video Processing  
One such technique is level set segmentation which evolves a contour to objects of interest in a given image.  ...  This method works well but gives incorrect segmentation results when a target object is corrupted in the image.  ...  We would also like to thank the Optronic Sensor Systems at the Center for Scientific and Industrial Research (CSIR) for making the dataset available.  ... 
doi:10.1186/1687-5281-2013-42 fatcat:wsn5w6ahvzek7ers4cknq5isiy

Automatic measuring of quality criteria for heart valves

Alexandru Paul Condurache, Tobias Hahn, Ulrich G. Hofmann, Michael Scharfschwerdt, Martin Misfeld, Til Aach, Josien P. W. Pluim, Joseph M. Reinhardt
2007 Medical Imaging 2007: Image Processing  
In case of biological implants, the use of porcine heart valves is common.  ...  We show how to measure the orifice area during a heart cycle to obtain an orifice curve. Different quality parameters are then estimated on such curves.  ...  METHODS To obtain orifice-area curves, one needs to segment the dark orifice from its light background in each image of a test sequence.  ... 
doi:10.1117/12.710629 dblp:conf/miip/ConduracheHHSMA07 fatcat:ilthvdfvgnf5ljjtjlci24tmke

A Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling [chapter]

Prithwijit Guha, Dibyendu Palai, K. S. Venkatesh, Amitabha Mukerjee
2006 Lecture Notes in Computer Science  
Experimental results and performance comparisons (ROC curves) for the proposed approach with other algorithms show significant improvements for several test sequences.  ...  The background model is learned from an image sequence in a number of stages, viz. preprocessing, pixel/region feature extraction and statistical modeling of feature distribution.  ...  Hence, a further improvement could involve the evolution of a multi-layered model.  ... 
doi:10.1007/11612032_31 fatcat:p7u6yjdmkngbjljpe5dl66huo4

Sign Language Video Segmentation with Level Sets Fusing Color, Texture, Boundary and Shape Features

P.V.V Kishore
2012 Signal & Image Processing An International Journal  
This paper presents a new and improved concept for segmenting gestures of sign language. The algorithm presented extracts signs from video sequences under various non static backgrounds.  ...  From RGB color video three color planes are extracted and one color plane is used based on the contrasting environments presented by the video background.  ...  This model has improvement in the segmentation of complex backgrounds, shadow elimination and light-reflection effects.  ... 
doi:10.5121/sipij.2012.3307 fatcat:doqjhop6r5ellezxn7k6rnqj2q

Automatic body segmentation with graph cut and self-adaptive initialization level set (SAILS)

Qiang Liu, Hongliang Li, King Ngi Ngan
2011 Journal of Visual Communication and Image Representation  
Thirdly, we propose a selfadaptive initialization level set (SAILS) to solve the tough problem, the undefined boundary in region-based segmentation, and to speed up the process of evolution simultaneously  ...  Firstly, an automatic human body detector is designed to provide hard constraints on the object and background for future segmentation.  ...  For a known and stationary background, Sun [12] used background subtraction to detect foreground objects and designed an adaptive contrast term to attenuate the contrast in the background which can improve  ... 
doi:10.1016/j.jvcir.2011.03.003 fatcat:4c4dbqfpdjeqpn7ehlxapxr2vy

Automatic Image Registration in Infrared-Visible Videos using Polygon Vertices [article]

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Eric Granger
2014 arXiv   pre-print
After background subtraction, keypoints on the contour of the foreground blobs are detected using DCE (Discrete Curve Evolution)technique.  ...  In this paper, we approximate the shape of the targets by polygons and use affine transformation for aligning the two video sequences.  ...  Feature Extraction After the background subtraction step, which gives the foreground blobs, an adapted DCE (Discrete Curve Evolution) [14] is used to detect salient points on the infrared-visible foreground  ... 
arXiv:1403.4232v1 fatcat:amo527irtbdhhikn3scpyhk3ee

Statistical shape knowledge in variational motion segmentation

Daniel Cremers, Christoph Schnörr
2003 Image and Vision Computing  
obtained, although the corresponding segmentation based on image intensities fails.  ...  The region-based formulation facilitates convergence of the contour from its initialization over fairly large distances, and the estimated flow field is progressively improved during the gradient descent  ...  Trubuil and the members of these groups for hospitality and many fruitful discussions. Moreover, we thank J. Keuchel and A. Pece for helpful comments on the manuscript.  ... 
doi:10.1016/s0262-8856(02)00128-2 fatcat:xufqe6zturhe3fr7flhxdxjzwy

Performance Evaluation of Crowd Analysis Algorithm using Modified GMM and Adaptive Thresholding

Navneet S. Ghedia, C. H. Vithalani, Ashish Kothari
2017 Indian Journal of Science and Technology  
Findings: Our proposed approach analyze all the aspects of the various backgrounds and foregrounds modelling and then compared their critical performance in terms of the PR curves and miss rate.  ...  Large number of foreground segmentation or motion segmentation approaches are available but only few can handle the various constraints like illumination variations, dynamic background partial or high  ...  The background can be subtracted from the present frame will give us the subtracted frame.  ... 
doi:10.17485/ijst/2017/v10i17/111960 fatcat:doq2owlpw5dhznv5kkocjhajim

Fast Detection and Processing of Arbitrary Contrast Agent Injections in Coronary Angiography and Fluoroscopy [chapter]

Alexandru Condurache, Til Aach, Kai Eck, Joerg Bredno
2004 Informatik aktuell  
To these ends, we describe approaches for the detection and processing of contrast agent injections in cardiac X-ray image sequences.  ...  Conversely, if contrast agent appears in the fluoroscopy images, overlay is not required and should be switched off.  ...  Fig. 2 and Fig. 3 show the segmentation results for two of the sequences in our data base. It may be observed that the segmentation results improve once the IIR low-pass filter is applied.  ... 
doi:10.1007/978-3-642-18536-6_2 fatcat:et547inbwjhitdpw2reoy5qekm

Performance evaluation of object detection algorithms for video surveillance

J.C. Nascimento, J.S. Marques
2006 IEEE transactions on multimedia  
We apply this methodology to segmentation algorithms recently proposed and describe their performance.  ...  This procedure allows us to highlight characteristics (e.g., region splitting or merging) which are specific of the method being used.  ...  Acknowledgement: We are very grateful to the three anonymous reviewers for their useful comments and suggestions. We also thank R. Oliveira and P.  ... 
doi:10.1109/tmm.2006.876287 fatcat:ckfi63kpkje4thhtgt2hg6md4m
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