Leveraging Occlusion Cues For Causal Video Object Segmentation
DOWNLOAD
Download Leveraging Occlusion Cues For Causal Video Object Segmentation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Leveraging Occlusion Cues For Causal Video Object Segmentation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Leveraging Occlusion Cues For Causal Video Object Segmentation
DOWNLOAD
Author : Brian Taylor
language : en
Publisher:
Release Date : 2016
Leveraging Occlusion Cues For Causal Video Object Segmentation written by Brian Taylor and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
This thesis describes a framework leveraging occlusions as a cue for detecting objects and accurately localizing their boundaries throughout the course of a video. Triggered by the motion of objects in the scene, occlusions provide coarse knowledge of the spatial relationship of objects with respect to the viewer. While effective for detecting objects when motion is sufficient, we explore ways to reliably detect and track objects when motion is inadequate or difficult to estimate. In the first half, we incorporate semantic classifiers to provide cues when occlusions are weak, and observe occlusion and appearance information to be mutually beneficial, yielding results more resilient to failures of the component systems acting alone. Our system is evaluated on the semantic segmentation task. In the latter half, we drop semantics and instead devise a causal framework integrating segmentation results and occlusion cues from frames processed in the past. So long as objects move sufficiently with respect to the viewer at some point, they will be detected and subsequently tracked for the rest of the video. We evaluated our approach on the video object segmentation problem. The resulting system has the capability to automatically discover objects from occlusions in video and track their shapes as they evolve over time. Coarse depth is provided as a byproduct and the assignment of semantic category labels can be integrated in a natural way.
Video Object Segmentation
DOWNLOAD
Author : Ning Xu
language : en
Publisher: Springer Nature
Release Date :
Video Object Segmentation written by Ning Xu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Occlusions And Their Role In Object Detection In Video
DOWNLOAD
Author : Alper Ayvaci
language : en
Publisher:
Release Date : 2012
Occlusions And Their Role In Object Detection In Video written by Alper Ayvaci and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Occlusions and disocclusions are essential cues for human perception in understanding the layout of a scene. By analyzing how some parts of the scene go out of the sight (occluded) and new parts appear (disoccluded), one can infer the topology of the objects in it. Since the scene geometry and its dynamics induce this phenomena, they are fundamental cues in computer vision and video processing tasks such as visual exploration, object recognition, activity recognition, tracking and video compression. In this thesis, we first introduce three methods to detect occlusions in an image sequence: (1) a motion segmentation algorithm which partitions an oversegmented image into two parts: a region on which optical flow is expressed with a piecewise-constant field and occluded regions where flow is not defined, (2) an optical flow estimation method which additionally detects occlusions modeling them as sparse subset of the image domain, and (3) a saliency detection algorithm which detects the parts of the image domain whose motion is inconsistent with the camera motion. In the second part of the thesis, we show that the problem of object detection in a video can be cast as an unsupervised segmentation scheme using occlusion cues and solved using convex optimization for an unknown number and geometry of objects in the scene. We further extend this approach by incorporating semantic priors for object categories that are learned from object recognition datasets. This enables the detection algorithm to segment and categorize objects jointly.
2021 Ieee Cvf Conference On Computer Vision And Pattern Recognition Cvpr
DOWNLOAD
Author : IEEE Staff
language : en
Publisher:
Release Date : 2021-06-20
2021 Ieee Cvf Conference On Computer Vision And Pattern Recognition Cvpr written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-20 with categories.
CVPR is the premier annual computer vision event comprising the main conference and several co located workshops and short courses With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers
Person Re Identification
DOWNLOAD
Author : Shaogang Gong
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-03
Person Re Identification written by Shaogang Gong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-03 with Computers categories.
The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.
Monocular Model Based 3d Tracking Of Rigid Objects
DOWNLOAD
Author : Vincent Lepetit
language : en
Publisher: Now Publishers Inc
Release Date : 2005
Monocular Model Based 3d Tracking Of Rigid Objects written by Vincent Lepetit and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Monocular Model-Based 3D Tracking of Rigid Objects reviews the different techniques and approaches that have been developed by industry and research.
Explainable Ai Interpreting Explaining And Visualizing Deep Learning
DOWNLOAD
Author : Wojciech Samek
language : en
Publisher: Springer Nature
Release Date : 2019-09-10
Explainable Ai Interpreting Explaining And Visualizing Deep Learning written by Wojciech Samek and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-10 with Computers categories.
The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
Artificial Intelligence Applications And Innovations
DOWNLOAD
Author : Ilias Maglogiannis
language : en
Publisher: Springer
Release Date : 2020-05-30
Artificial Intelligence Applications And Innovations written by Ilias Maglogiannis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-30 with Computers categories.
This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning -analytics; image processing; learning algorithms; neural network modeling; object tracking - object detection systems; ontologies - AI; and sentiment analysis - recommender systems. Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language. *The conference was held virtually due to the COVID-19 pandemic.
Computer Vision Eccv 2020 Workshops
DOWNLOAD
Author : Adrien Bartoli
language : en
Publisher: Springer Nature
Release Date : 2021-01-30
Computer Vision Eccv 2020 Workshops written by Adrien Bartoli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-30 with Computers categories.
The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic. The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics. Part V includes: The 16th Embedded Vision Workshop; Real-World Computer Vision from Inputs with Limited Quality (RLQ); The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2020); The Visual Object Tracking Challenge Workshop (VOT 2020); and Video Turing Test: Toward Human-Level Video Story Understanding.
Emerging Technologies In Biomedical Engineering And Sustainable Telemedicine
DOWNLOAD
Author : Jihad Alja’am
language : en
Publisher: Springer Nature
Release Date : 2021-08-17
Emerging Technologies In Biomedical Engineering And Sustainable Telemedicine written by Jihad Alja’am and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-17 with Technology & Engineering categories.
This book presents the most recent research and applications in Biomedical Engineering, electronic health and TeleMedicine. Top-scholars and research leaders in the field contributed to the book. It covers a broad range of applications including smart platforms like DietHub which connects patients with doctors online. The book highlights the advantages of Telemedicine to improve the healthcare services and how it can contribute to the homogenization of medicine without any geographical barriers. Telemedicine transforms local hospitals, with limited services, into a node of an integrated network. In this manner, these nodes start to play an important role in preventive medicine and in high-level management of chronic diseases. The authors also discuss the challenges related to “health informatics” and in “e-health management”. The topics of the book include: synchronous and asynchronous telemedicine with deep discussions on e-health applications, virtual medical assistance, real-time virtual visits, digital telepathology, home health monitoring, and medication adherence, wearable sensors, tele-monitoring hubs and sensors, Internet of Things, augmented and virtual reality as well as e-learning technologies. The scope of the book is quite unique particularly in terms of the application domains that it targets. It is a unique hub for the dissemination of state of the art research in the telemedicine field and healthcare ecosystems. The book is a reference for graduate students, doctors, and researchers to discover the most recent findings, and hence, it achieves breakthroughs and pushes the boundaries in the related fields.