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Gibbs Model Based 3D Motion and Structure Estimation for Object-Based Video Coding Applications [chapter]

A. Aydin Alatan, Levent Onural
1997 Video Data Compression for Multimedia Computing  
Gibbs formulated joint segmentation and estimation of 2D motion not only improves the performance of each stage, but also generates robust point correspondences which are necessary for rigid 3D motion  ...  Estimated rigid 3D motion parameters of a segmented object are used to find the 3D structure of those objects by minimizing another Gibbs energy.  ...  They either perform only object segmentation with 3D data [49] ' [53] or estimate the global (camera) motion and depth field using a dense depth field as an initial estimate [46] .  ... 
doi:10.1007/978-1-4615-6239-9_10 fatcat:ki2zpjlg6zdlndztn5hyjtyw7e

Improving Streaming Video Segmentation with Early and Mid-Level Visual Processing [article]

Subarna Tripathi, Youngbae Hwang, Serge Belongie, Truong Nguyen
2014 arXiv   pre-print
We exploit the supervoxels as an initialization towards estimation of dominant affine motion regions, followed by merging of such motion regions in order to hierarchically segment a video in a novel motion-segmentation  ...  The extensive experimental analysis of our approach validates the improvement of hierarchical supervoxel representation by incorporating motion and color with effective filtering.  ...  We estimate the motion of each segment and hierarchically merge different segments using geometric distance notion in affine space in a streaming fashion. 3.2.1 Motion-based segmentation overview Following  ... 
arXiv:1402.3557v1 fatcat:axljd32hbja6ph3qrr47ceopra

Hierarchical motion decomposition for dynamic scene parsing

Juan-Manuel Perez-Rua, Tomas Crivelli, Patrick Perez, Patrick Bouthemy
2016 2016 IEEE International Conference on Image Processing (ICIP)  
Moreover, different settings in video production require extracting segmentation masks of multiple moving objects and object parts in a hierarchical fashion.  ...  A number of applications in video analysis rely on a perframe motion segmentation of the scene as key preprocessing step.  ...  It is important to note here that the motion models describe perregion motion characteristics, in contrast to the instrumental motion field f , which is an unstructured dense reference.  ... 
doi:10.1109/icip.2016.7533101 dblp:conf/icip/Perez-RuaCPB16 fatcat:mxy4zo5snrg5dfxo3drjdaxa5e

Motion vision based structure estimation in forest environment

Jakke Kulovesi
2009 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems  
The results show that dense optical flow can be computed from a real-world forest data accurately enough as to enable instantaneous dense structure estimates of the visible image scene.  ...  Based on the measurements, tree cutting could be optimized and harvester automation increased, resulting in higher resource utilization efficiency.  ...  AN ADVANCED BLOCK MATCHING ALGORITHM FOR OPTICAL FLOW Optical flow is a (dense) estimate of the true projected motion field.  ... 
doi:10.1109/iros.2009.5353961 dblp:conf/iros/Kulovesi09 fatcat:qg3gnifpdbca3f3ipwpfk7utem

Tracking by Hierarchical Representation of Target Structure [chapter]

Nicole M. Artner, Salvador B. López Mármol, Csaba Beleznai, Walter G. Kropatsch
2008 Lecture Notes in Computer Science  
The spatial and temporal density of observed part combinations is estimated by performing statistics over temporally aggregated data.  ...  The hierarchical part-based representation is learned in a generative manner from a large set of simple local features.  ...  In this manner, the estimation step is able to recover motion paths of less stable and less distinctive combinations at lower levels of the hierarchy and to provide a dense structural representation of  ... 
doi:10.1007/978-3-540-89689-0_48 fatcat:7skbf25f5jhm3gnjnoodwglftm

Utilization of the recursive shortest spanning tree algorithm for video-object segmentation by 2-D affine motion modeling

E. Tuncel, L. Onural
2000 IEEE transactions on circuits and systems for video technology (Print)  
A novel video-object segmentation algorithm is proposed, which takes the previously estimated 2-D dense motion vector field as input and uses the generalized recursive shortest spanning tree method to  ...  approximate each component of the motion vector field as a piecewise planar function.  ...  SEGMENTATION ALGORITHM A. The Model and the Cost Function An affine (or six-parameter) model is assumed for the dense motion vector field .  ... 
doi:10.1109/76.856454 fatcat:ruaqq5jjdjdd7l3j3ow2ajroeq

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
Exploiting Hierarchical Context on a Large Database of Object Categories Lim, Yongwhan Building and Using a Semantivisual Image Hierarchy Lin, Dahua Modeling and Estimating Persistent Motion with  ...  Hierarchical Structure-and-Motion Ghosh, Pratim Generalized Simultaneous Registration and Segmentation Gimeno, Roger DARTs: Efficient scale-space extraction of DAISY keypoints Girod, Bernd Unified  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

Action Recognition and Localization by Hierarchical Space-Time Segments

Shugao Ma, Jianming Zhang, Nazli Ikizler-Cinbis, Stan Sclaroff
2013 2013 IEEE International Conference on Computer Vision  
Using simple linear SVM on the resultant bag of hierarchical space-time segments representation, we attain better than, or comparable to, state-of-art action recognition performance on two challenging  ...  We present an unsupervised method to generate this representation from video, which extracts both static and non-static relevant space-time segments, and also preserves their hierarchical and temporal  ...  This work was supported in part through a Google Faculty Research Award and by US NSF grants 0855065, 0910908, and 1029430.  ... 
doi:10.1109/iccv.2013.341 dblp:conf/iccv/MaZIS13 fatcat:mdcwpudgqbhvjj375tvspn73tu

Real-Time Stereo Using Foreground Segmentation and Hierarchical Disparity Estimation [chapter]

Hansung Kim, Dong Bo Min, Kwanghoon Sohn
2005 Lecture Notes in Computer Science  
We propose a real-time segmentation technique using background subtraction and inter-frame differences, and a hierarchical disparity estimation using a region-dividing technique and shape-adaptive matching  ...  We propose a fast disparity estimation algorithm using background registration and object segmentation for stereo sequences from fixed cameras.  ...  Scharstein and Dr. R. Szeliski for supplying the ground truth data on their homepage, and Dr. Y. Ohta and Dr. Y. Nakamura for the imagery from the University of Tsukuba.  ... 
doi:10.1007/11581772_34 fatcat:4q45qf2qozbedgfwp7bgo2e3je

Real-time disparity estimation using foreground segmentation for stereo sequences

Hansung Kim
2006 Optical Engineering: The Journal of SPIE  
We propose a real-time segmentation technique using background subtraction and interframe differences, and a hierarchical disparity estimation using a region-dividing technique and shape-adaptive matching  ...  We propose a fast disparity estimation algorithm using background registration and object segmentation for stereo sequences from fixed cameras.  ...  Background Disparity Refinement Dense disparity fields of background are initially estimated in the hierarchical way proposed in Sec. 3.1.  ... 
doi:10.1117/1.2183667 fatcat:6dnzapt6fvbrnl7ppiyuuigrrm

Region-Based Parametric Motion Segmentation Using Color Information

Yucel Altunbasak, P.Erhan Eren, A.Murat Tekalp
1998 Graphical Models and Image Processing  
This paper presents pixel-based and region-based parametric motion segmentation methods for robust motion segmentation with the goal of aligning motion boundaries with those of real objects in a scene.  ...  A particular combination of these pixel-based and region-based methods is then proposed as a complete algorithm to obtain the best possible segmentation results on a variety of image sequences.  ...  Although, hierarchical blockbased dense motion compensation yields high PSNR, the corresponding dense motion field usually contains several outliers (because of the aperture problem and lack of overall  ... 
doi:10.1006/gmip.1997.0453 fatcat:kbtpvn3spbewhhno6lpqzvhwpy

Hierarchical Video Representation with Trajectory Binary Partition Tree

Guillem Palou, Philippe Salembier
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
We show that the proposed algorithm outperforms existing hierarchical video segmentation algorithms and provides more stable and precise regions.  ...  As early stage of video processing, we introduce an iterative trajectory merging algorithm that produces a regionbased and hierarchical representation of the video sequence, called the Trajectory Binary  ...  State of the art motion and optical flow estimation algorithms [32, 3] are able to produce accurate and dense fields.  ... 
doi:10.1109/cvpr.2013.273 dblp:conf/cvpr/PalouS13 fatcat:fl5l6emo4ngsrmyy5nqdjizzjq

Aggressive Action Estimation: A Comprehensive Review on Neural Network Based Human Segmentation and Action Recognition

A. F. M. Saifuddin Saif, Md. Akib Shahriar Khan, Abir Mohammad Hadi, Rahul Prashad Karmoker, Joy Julian Gomes
2019 International Journal of Education and Management Engineering  
As the problem itself is an extended version of various subproblems, such as frame segmentation, spatial and temporal feature extraction, motion modeling and action classification as a whole, some methods  ...  Convolutional neural network has been the primary go-to architecture for image segmentation, flow estimation and action recognition in recent days.  ...  CapsNet though also lacking the Human Segmentation and Action Recognition motion features, have the ability of hierarchical segmentation and input reconstruction as well as performs better on overlapping  ... 
doi:10.5815/ijeme.2019.01.02 fatcat:xsb5jgo2zjbctacyj2mtcccfk4

Automatic segmentation of moving objects for video object plane generation

T. Meier, K.N. Ngan
1998 IEEE transactions on circuits and systems for video technology (Print)  
A comprehensive review summarizes some of the most important motion segmentation and VOP generation techniques that have been proposed.  ...  The initial model is derived automatically, and a new model update method based on the concept of moving connected components allows for comparatively large changes in shape.  ...  MOTION SEGMENTATION A classical approach to motion segmentation is to estimate a dense motion field followed by a segmentation of the scene based only on this motion information [7] - [10] .  ... 
doi:10.1109/76.718500 fatcat:6kbkjvo5ozc7rmoqm57sburufi

Unsupervised mesh based segmentation of moving objects

Andreas Kriechbaum, Roland Mörzinger, Georg Thallinger
2008 Proceeding of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams - AREA '08  
Our approach to extract moving objects relies on a mesh-based combination of results from colour segmentation (Mean Shift) and motion segmentation by feature point tracking (KLT tracker).  ...  Often it is necessary to reduce the amount of data and to represent the video in terms of moving objects and events. Event analysis can be built on the detection of moving objects.  ...  ACKNOLEDGEMENTS The authors would like to thank Werner Haas, Werner Bailer and Peter Schallauer as well as several other colleagues at JOANNEUM RESEARCH, who provided valuable feedback.  ... 
doi:10.1145/1463542.1463544 dblp:conf/mm/KriechbaumMT08 fatcat:2o4mzfpwgnhuxookwwnnena4i4
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