Filters








1,294 Hits in 6.1 sec

Gates for Handling Occlusion in Bayesian Models of Images: An Initial Study [chapter]

Daniel Oberhoff, Dominik Endres, Martin A. Giese, Marina Kolesnik
2011 Lecture Notes in Computer Science  
We show how the intractability of the hidden variable posterior of noisy-or models can be (conditionally) lifted by introducing gates on the input combined with a sparsifying prior, allowing for the application  ...  Probabilistic systems for image analysis have enjoyed increasing popularity within the last few decades, yet principled approaches to incorporating occlusion as a feature into such systems are still few  ...  To Conclude, we have shown a feasible approach for modeling occlusion in a Bayesian image model.  ... 
doi:10.1007/978-3-642-24455-1_21 fatcat:rcntl5sy65carhzlwhq7ciw3fq

Three hypothesis algorithm with occlusion reasoning for multiple people tracking

Carolina Reta, Leopoldo Altamirano, Jesus A. Gonzalez, Rafael Medina-Carnicer
2015 Journal of Electronic Imaging (JEI)  
Our algorithm was evaluated on test sequences in the field of intelligent surveillance achieving an overall precision of 93%.  ...  Our algorithm builds a tracking graph that models spatio-temporal relationships among attributes of interacting people to predict and resolve partial and total occlusions.  ...  Acknowledgments The first author acknowledges support from National Council of Science and Technology (CONACyT) of Mexico to pursue graduate studies.  ... 
doi:10.1117/1.jei.24.1.013015 fatcat:zxzcwnfdgjhcncxdphaqqgj7xi

Conditional filters for image sequence-based tracking - application to point tracking

E. Arnaud, E. Memin, B. Cernuschi-Frias
2005 IEEE Transactions on Image Processing  
In particular, they allow dealing with noisy sequences, abrupt changes of trajectories, occlusions and cluttered background.  ...  In particular, the model that is considered for point tracking combines a state equation relying on the optical flow constraint and measurements provided by a matching technique.  ...  In case of conditional partial Gaussian state space model, it is possible to infer an ellipsoidal validation gate in a simple way.  ... 
doi:10.1109/tip.2004.838707 pmid:15646873 fatcat:5je6fknvdjbfvmb3fs3bcy4jvi

Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking [chapter]

Elise Arnaud, Etienne Mémin
2004 Lecture Notes in Computer Science  
In this paper, we propose a particle filtering approach for tracking applications in image sequences.  ...  It also enables building a relevant approximation of a validation gate. We demonstrate the significance of this model for a point tracking application.  ...  The first result is presented to demonstrate the interest of the optimal importance function. To that purpose, we have chosen to study an occlusion case, on the Garden sequence.  ... 
doi:10.1007/978-3-540-24672-5_24 fatcat:65kz2jq6ufeyveiwyw2tnd4r54

A robust sperm cell tracking algorithm using uneven lighting image fixing and improved branch and bound algorithm

Ahmad Alhaj Alabdulla, Abdulsamet Haşıloğlu, Emrah Hicazi Aksu
2021 IET Image Processing  
For assigning tracks to the detected sperm cells positions an improved version of branch and bound algorithm which is faster than the normal one is offered.  ...  It can find the correct path and measure motility parameters for each sperm. It can also adapt with different types of images coming from different cameras and bad recording conditions.  ...  ACKNOWLEDGEMENTS The authors are grateful to the Faculty of Engineering at Ataturk University, and the laboratories of Computer Engineering Department, who helped them in recording and collecting  ... 
doi:10.1049/ipr2.12178 fatcat:5awba7be4rdqhbznq4rmtei24q

Uncertainty depth estimation with gated images for 3D reconstruction [article]

Stefanie Walz and Tobias Gruber and Werner Ritter and Klaus Dietmayer
2020 arXiv   pre-print
Gated imaging is an emerging sensor technology for self-driving cars that provides high-contrast images even under adverse weather influence.  ...  In this work, we extend the recent Gated2Depth framework with aleatoric uncertainty providing an additional confidence measure for the depth estimates.  ...  This work has received funding from the European Union under the H2020 ECSEL Programme as part of the DENSE project, contract number 692449.  ... 
arXiv:2003.05122v1 fatcat:gwlr5koqdfgkrdugdisx26q77i

Image-based Co-Registration of Angiography and Intravascular Ultrasound Images

Peng Wang, Olivier Ecabert, Terrence Chen, Michael Wels, Johannes Rieber, Martin Ostermeier, Dorin Comaniciu
2013 IEEE Transactions on Medical Imaging  
In this paper, we present a solution for co-registering 2-D angiography and IVUS through image-based device tracking.  ...  The localization of tracked IVUS transducers and guiding catheter tips is used to associate an IVUS imaging plane to a corresponding location on the vessel branch under investigation.  ...  MODEL-BASED DEVICE TRACKING In this section, we first introduce a Bayesian framework for device tracking, the fusion of measurements of multiple devices in an integrated model, and then an efficient implementation  ... 
doi:10.1109/tmi.2013.2279754 pmid:24001984 fatcat:mhcskznzszcujo6lsykkgve5h4

Simultaneous multi-descent regression and feature learning for facial landmarking in depth images

Janez Križaj, Peter Peer, Vitomir Štruc, Simon Dobrišek
2019 Neural computing & applications (Print)  
We evaluate both approaches in rigorous experiments on several popular datasets of 3D face images, i.e., the FRGCv2 and Bosphorus 3D face datasets and image collections F and G from the University of Notre  ...  Our method builds on recent cascaded regression-based methods to facial landmarking and uses a gating mechanism to incorporate multiple linear cascaded regression models each trained for a limited range  ...  Compliance with ethical standards Conflict of interest The authors declare that they have no conflict of interest.  ... 
doi:10.1007/s00521-019-04529-7 fatcat:z4iybvoxdfgzbd3r5oyjrmz7vu

Gated2Gated: Self-Supervised Depth Estimation from Gated Images [article]

Amanpreet Walia, Stefanie Walz, Mario Bijelic, Fahim Mannan, Frank Julca-Aguilar, Michael Langer, Werner Ritter, Felix Heide
2021 arXiv   pre-print
Instead of sequentially scanning a scene and directly recording depth via the photon time-of-flight, as in pulsed LiDAR sensors, gated imagers encode depth in the relative intensity of a handful of gated  ...  based on gated images.  ...  An overlay of all exposures is shown in green (b). Individual gated images and temporal consistency in the depth predic- range intensity profiles are shown for (f) short distance 3-72 m in tions.  ... 
arXiv:2112.02416v1 fatcat:bamurxqiyreyroxjh7maajh27q

New trends on moving object detection in video images captured by a moving camera: A survey

Mehran Yazdi, Thierry Bouwmans
2018 Computer Science Review  
different methods in the case of moving camera.  ...  Although many researches and excellent works have reviewed the methods of object detection and background subtraction for a fixed camera, there is no survey which presents a complete review of the existing  ...  The capability of the tracker to handle in real-time partial occlusions, significant clutter and target scale variations is demonstrated for several image sequences.  ... 
doi:10.1016/j.cosrev.2018.03.001 fatcat:piatniywwfalbnfwsurmodpblu

Global optimization for coupled detection and data association in multiple object tracking

Zheng Wu, Margrit Betke
2016 Computer Vision and Image Understanding  
We also eschew common heuristics such as "non-maximum suppression" of hypotheses by modeling the joint image likelihood as opposed to applying independent likelihood assumptions.  ...  We present a novel framework for tracking multiple objects imaged from one or more static cameras, where the problems of object detection and data association are expressed by a single objective function  ...  Explicit occlusion modeling also appears in an optimization work by An-125 driyenko et al. [29] , who integrated an occlusion model in their global objective function.  ... 
doi:10.1016/j.cviu.2015.10.006 fatcat:fpdu5ano4nbjpflbp56tgo6jty

Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path [article]

Christopher A. Metzler, David B. Lindell, Gordon Wetzstein
2021 arXiv   pre-print
Non-line-of-sight (NLOS) imaging and tracking is an emerging technology that allows the shape or position of objects around corners or behind diffusers to be recovered from transient, time-of-flight measurements  ...  Here, we propose a new approach, dubbed keyhole imaging, that captures a sequence of transient measurements along a single optical path, for example, through a keyhole.  ...  In this section, we describe the keyhole measurement model in detail and derive a Bayesian estimation method for recovering the shape and motion of hidden objects.  ... 
arXiv:1912.06727v3 fatcat:nmajqanzcvgfrnu3da3u6aiwki

Generative Image Modeling Using Spatial LSTMs [article]

Lucas Theis, Matthias Bethge
2015 arXiv   pre-print
Recurrent neural networks have been successful in capturing long-range dependencies in a number of problems but only recently have found their way into generative image models.  ...  We find that it outperforms the state of the art in quantitative comparisons on several image datasets and produces promising results when used for texture synthesis and inpainting.  ...  This study was financially supported by the German Research Foundation (DFG; priority program 1527, BE 3848/2-1).  ... 
arXiv:1506.03478v2 fatcat:tvbpdzlaijg7pkyxebfti2awgu

Recovering 3D human pose from monocular images

A. Agarwal, B. Triggs
2006 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Our approach requires neither an explicit body model nor prior labelling of body parts in the image.  ...  We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences.  ...  Our algorithm is related to Bayesian tracking, but we eliminate the need for both an explicit body model that is projected to predict image observations, and a corresponding error model that is used to  ... 
doi:10.1109/tpami.2006.21 pmid:16402618 fatcat:wvxmdenp45a77n3ldze74dkdcu

Online multi-object tracking via robust collaborative model and sample selection

Mohamed A. Naiel, M. Omair Ahmad, M.N.S. Swamy, Jongwoo Lim, Ming-Hsuan Yang
2017 Computer Vision and Image Understanding  
For each frame, we construct an association between detections and trackers, and treat each detected image region as a key sample, for online update, if it is associated to a tracker.  ...  Furthermore, we propose an effective sample selection scheme to update the appearance model of each tracker.  ...  For the Town Center dataset, the proposed scheme is first evaluated to track the full body of pedestrians.  ... 
doi:10.1016/j.cviu.2016.07.003 fatcat:a5muocugdrg25m7jl7bgvw7jge
« Previous Showing results 1 — 15 out of 1,294 results