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Spatio-temporal motion tracking with unsynchronized cameras

A. Elhayek, C. Stoll, N. Hasler, K. I. Kim, H. Seidel, C. Theobalt
2012 2012 IEEE Conference on Computer Vision and Pattern Recognition  
We present a new spatio-temporal method for markerless motion capture.  ...  By purposefully running cameras unsynchronized we can capture even very fast motion at speeds that off-the-shelf but high quality cameras provide.  ...  Conclusions We have introduced a spatio-temporal approach to articulated motion tracking from unsynchronized multi-view video.  ... 
doi:10.1109/cvpr.2012.6247886 dblp:conf/cvpr/ElhayekSHKST12 fatcat:3cpuyejl5fagbdgiuebprnwyxm

Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction [article]

Xiangyu Xu, Enrique Dunn
2019 arXiv   pre-print
Our graph-theoretic formulation models the Spatio-temporal relationships among our observations in terms of the joint estimation of their 3D geometry and its discrete Laplace operator.  ...  We present a reconstructability analysis, experiments on motion capture data and multi-view image datasets, as well as explore applications to geometry-based event segmentation and data association.  ...  All cameras have 1000 × 1000 resolution and 1000 focal length, are static with a distance of 3 meters around the motion center. The four cameras are unsynchronized, with frame rate up to 30 Hz.  ... 
arXiv:1908.11044v1 fatcat:4boappn6pjbxflnf5ggvrb6gem

Spatio-Temporal Alignment of Non-overlapping Sequences from Independently Panning Cameras

S. Morteza Safdarnejad, Xiaoming Liu
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
This paper addresses the problem of spatio-temporal alignment of multiple video sequences. We identify and tackle a novel scenario of this problem referred to as Nonoverlapping Sequences (NOS).  ...  NOS are captured by multiple freely panning handheld cameras whose field of views (FOV) might have no direct spatial overlap.  ...  Various scenarios in spatio-temporal alignment of sequences: (a) jointly moving cameras, (b) independently moving cameras at different times following similar trajectories, (c) stationary cameras with  ... 
doi:10.1109/cvpr.2017.677 dblp:conf/cvpr/SafdarnejadL17 fatcat:y2d7m3gygbdhdly3csiy4xwism

Multi-views tracking within and across uncalibrated camera streams

Jinman Kang, Isaac Cohen, Gérard Medioni
2003 First ACM SIGMM international workshop on Video surveillance - IWVS '03  
Stationary video streams are registered using a ground plane homography and the trajectories derived by Tensor Voting formalism are integrated across cameras by a spatio-temporal homography.  ...  The detection of moving objects from moving camera is performed by defining an adaptive background model that uses an affine-based camera motion approximation.  ...  spatio-temporal homography.  ... 
doi:10.1145/982452.982456 fatcat:6ehgvfaqb5cgllwrg7qc6gu7oa

Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study

Justin Amadeus Albert, Victor Owolabi, Arnd Gebel, Clemens Markus Brahms, Urs Granacher, Bert Arnrich
2020 Sensors  
In addition, we compared the accuracy of certain spatio-temporal gait parameters, i.e., step length, step time, step width, and stride time calculated from the Kinect data, with the gold standard system  ...  In this study, we evaluated the motion tracking performance of the latest generation of the Microsoft Kinect camera, Azure Kinect, compared to its predecessor Kinect v2 in terms of treadmill walking using  ...  Acknowledgments: We would like to thank Jonathan Antonio Edelman from the Digital Health Design Lab who provided us with the Azure Kinect sensor early on.  ... 
doi:10.3390/s20185104 pmid:32911651 fatcat:52drn65zwzfz5o72idx42kwta4

CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles

N Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
On one hand, feature tracking works well within each view but is hard to correspond across multiple cameras with limited overlap in fields of view or due to occlusions.  ...  Despite significant research in the area, reconstruction of multiple dynamic rigid objects (eg. vehicles) observed from wide-baseline, uncalibrated and unsynchronized cameras, remains hard.  ...  It enables precise and spatio-temporally stable estimation of the 3D configuration of the structured points.  ... 
doi:10.1109/cvpr.2018.00204 dblp:conf/cvpr/ReddyVN18 fatcat:vdf3656snnaobktrm3azooqoxu

Synchronization and rolling shutter compensation for consumer video camera arrays

Derek Bradley, Bradley Atcheson, Ivo Ihrke, Wolfgang Heidrich
2009 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
In our experiments we have used the proposed methods to effectively remove temporal shear, and synchronize up to 16 consumer-grade camcorders in multiple geometric configurations.  ...  Two major obstacles to the use of consumer camcorders in computer vision applications are the lack of synchronization hardware, and the use of a "rolling" shutter, which introduces a temporal shear in  ...  This produces a vertical slice through the spatio-temporal volume in Figure 1 at timestep t (n+1) .  ... 
doi:10.1109/cvprw.2009.5204340 dblp:conf/cvpr/BradleyAIH09 fatcat:2lziyfk3j5dfpjzoh25uj5s67m

Synchronization and rolling shutter compensation for consumer video camera arrays

D. Bradley, B. Atcheson, I. Ihrke, W. Heidrich
2009 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
In our experiments we have used the proposed methods to effectively remove temporal shear, and synchronize up to 16 consumer-grade camcorders in multiple geometric configurations.  ...  Two major obstacles to the use of consumer camcorders in computer vision applications are the lack of synchronization hardware, and the use of a "rolling" shutter, which introduces a temporal shear in  ...  This produces a vertical slice through the spatio-temporal volume in Figure 1 at timestep t (n+1) .  ... 
doi:10.1109/cvpr.2009.5204340 fatcat:7wk7jlahnjdyfbfctwlrtsuljq

Reconstruction of 3D flight trajectories from ad-hoc camera networks [article]

Jingtong Li, Jesse Murray, Dorina Ismaili, Konrad Schindler, Cenek Albl
2020 arXiv   pre-print
We present a method to reconstruct the 3D trajectory of an airborne robotic system only from videos recorded with cameras that are unsynchronized, may feature rolling shutter distortion, and whose viewpoints  ...  Our approach enables robust and accurate outside-in tracking of dynamically flying targets, with cheap and easy-to-deploy equipment.  ...  Moreover, it would be interesting to implement multi-target tracking. Fig. 1 : 1 A UAV is tracked using multiple unsynchronized cameras (bottom) with unknown poses.  ... 
arXiv:2003.04784v2 fatcat:wbfurnrnena4hbk5iggfi4dp2a

Temporally Coherent 3D Animation Reconstruction From Rgb-D Video Data

Salam Khalifa, Naveed Ahmed
2014 Zenodo  
Our new motion vectors based dynamic alignement method then fully reconstruct a spatio-temporally coherent 3D animation.  ...  We show that despite the limiting factors of temporal and spatial noise associated to RGB-D data, it is possible to extract temporal coherence to faithfully reconstruct a temporally coherent 3D animation  ...  [21] employed four Kinects for unsynchronized marker-less motion capture. Recently, Ahmed et al.  ... 
doi:10.5281/zenodo.1096095 fatcat:tgh2ely6jbekvppmdzcfaouakm

Periodic motion detection and segmentation via approximate sequence alignment

I. Laptev, S.J. Belongie, P. Perez, J. Wills
2005 Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1  
Using this method, we demonstrate detection and segmentation of human periodic motion in complex scenes with non-rigid backgrounds, moving camera and motion parallax.  ...  These dynamic quantities can be estimated by matching corresponding space-time points with similar local motion and shape.  ...  Given the distinctive spatio-temporal properties of such points, correspondence can be estimated from the similarity of their local spatio-temporal neighborhoods.  ... 
doi:10.1109/iccv.2005.188 dblp:conf/iccv/LaptevBPW05 fatcat:rzhxgftmm5fwpemuhucyzgioly

Synchronization of Two Independently Moving Cameras without Feature Correspondences [chapter]

Tiago Gaspar, Paulo Oliveira, Paolo Favaro
2014 Lecture Notes in Computer Science  
The assumptions underlying the proposed strategy are that the intrinsic parameters of the cameras are known and that two rigid objects, with independent motions on the scene, are visible in both sequences  ...  It works when the cameras move independently, even if different features are tracked in the two sequences.  ...  In [2] , Caspi and Irani present a second method, the "direct intensity-based sequence alignment", which exploits spatio-temporal brightness variations within each sequence.  ... 
doi:10.1007/978-3-319-10590-1_13 fatcat:xd5ci4stcrfjtc67mw57fkbdhe

Dynamic Manifold Warping for view invariant action recognition

Dian Gong, Gerard Medioni
2011 2011 International Conference on Computer Vision  
DMW extends previous works on spatio-temporal alignment by incorporating manifold learning.  ...  We propose a Spatio-Temporal Manifold (STM) model to analyze non-linear multivariate time series with latent spatial structure and apply it to recognize actions in the joint-trajectories space.  ...  [12] uses linear transformation model to solve the spatio-temporal alignment problem for multiple unsynchronized video sequences.  ... 
doi:10.1109/iccv.2011.6126290 dblp:conf/iccv/GongM11 fatcat:rgous4pvijcd5i2heygk2txogi

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
Using Multiple Static Cameras for Sports Visualization Hofmann, Martin Workshop: Dense Spatio-Temporal Motion Segmentation for Tracking Multiple Self-Occluding People Hogan, James Refinement of Digital  ...  Li, Ruonan Group Motion Segmentation Using a Spatio-Temporal Driving Force Model Li, Shuo Finding Image Distributions on Active Curves Graph Cut Segmentation with a Global Constraint: Recovering  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency Constraints

2018 IEEE Transactions on Cybernetics  
colour and depth data for RGB-D target tracking using adaptive range-invariant depth models and spatio-temporal consistency constraints', IEEE Transactions on Cybernetics, vol. 99, pp. 1-15. https://doi  ...  License: Other (please specify with Rights Statement) Document Version Peer reviewed version Citation for published version (Harvard): Xiao, J, Stolkin, R, Gao, Y & Leonardis, A 2017, 'Robust fusion of  ...  especially motion towards or away from the camera).  ... 
doi:10.1109/tcyb.2017.2740952 pmid:28885166 fatcat:u72r4a4tofblxasr32nl5n5yn4
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