Video To Video Face Recognition For Low Quality Surveillance Data


Video To Video Face Recognition For Low Quality Surveillance Data
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Video To Video Face Recognition For Low Quality Surveillance Data


Video To Video Face Recognition For Low Quality Surveillance Data
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Author : Herrmann, Christian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2018-08-03

Video To Video Face Recognition For Low Quality Surveillance Data written by Herrmann, Christian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-03 with Electronic computers. Computer science categories.


The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data. This work targets efficient representations of low-quality face sequences to enable fast and accurate face search. Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage.



Video To Video Face Recognition For Low Quality Surveillance Data


Video To Video Face Recognition For Low Quality Surveillance Data
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Author : Christian Herrmann
language : en
Publisher:
Release Date : 2020-10-09

Video To Video Face Recognition For Low Quality Surveillance Data written by Christian Herrmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Technology & Engineering categories.


The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data. This work targets efficient representations of low-quality face sequences to enable fast and accurate face search. Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.



Intelligent Data Communication Technologies And Internet Of Things


Intelligent Data Communication Technologies And Internet Of Things
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Author : Jude Hemanth
language : en
Publisher: Springer Nature
Release Date : 2021-02-12

Intelligent Data Communication Technologies And Internet Of Things written by Jude Hemanth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-12 with Technology & Engineering categories.


This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application domains. The proliferation of various mobile and wireless communication networks has paved way to foster a high demand for intelligent data processing and communication technologies. The potential of data in wireless mobile networks is enormous, and it constitutes to improve the communication capabilities profoundly. As the networking and communication applications are becoming more intensive, the management of data resources and its flow between various storage and computing resources are posing significant research challenges to both ICT and data science community. The general scope of this book covers the design, architecture, modeling, software, infrastructure and applications of intelligent communication architectures and systems for big data or data-intensive applications. In particular, this book reports the novel and recent research works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing technologies, image analysis, robotics and autonomous systems, data security and privacy.



Facial Texture Super Resolution By Fitting 3d Face Models


Facial Texture Super Resolution By Fitting 3d Face Models
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Author : Qu, Chengchao
language : en
Publisher: KIT Scientific Publishing
Release Date : 2018-10-02

Facial Texture Super Resolution By Fitting 3d Face Models written by Qu, Chengchao and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-02 with categories.




Self Learning Anomaly Detection In Industrial Production


Self Learning Anomaly Detection In Industrial Production
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Author : Meshram, Ankush
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-06-19

Self Learning Anomaly Detection In Industrial Production written by Meshram, Ankush and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-19 with categories.


Configuring an anomaly-based Network Intrusion Detection System for cybersecurity of an industrial system in the absence of information on networking infrastructure and programmed deterministic industrial process is challenging. Within the research work, different self-learning frameworks to analyze passively captured network traces from PROFINET-based industrial system for protocol-based and process behavior-based anomaly detection are developed, and evaluated on a real-world industrial system.



Deep Learning Based Vehicle Detection In Aerial Imagery


Deep Learning Based Vehicle Detection In Aerial Imagery
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Author : Sommer, Lars Wilko
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-02-09

Deep Learning Based Vehicle Detection In Aerial Imagery written by Sommer, Lars Wilko and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-09 with Computers categories.


This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed feature representation. To reduce the inference time, a lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.



Multimodal Panoptic Segmentation Of 3d Point Clouds


Multimodal Panoptic Segmentation Of 3d Point Clouds
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Author : Dürr, Fabian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2023-10-09

Multimodal Panoptic Segmentation Of 3d Point Clouds written by Dürr, Fabian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-09 with categories.


The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion.



Video Search And Mining


Video Search And Mining
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Author : Dan Schonfeld
language : en
Publisher: Springer
Release Date : 2010-04-20

Video Search And Mining written by Dan Schonfeld and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-20 with Technology & Engineering categories.


As cameras become more pervasive in our daily life, vast amounts of video data are generated. The popularity of YouTube and similar websites such as Tudou and Youku provides strong evidence for the increasing role of video in society. One of the main challenges confronting us in the era of information technology is to - fectively rely on the huge and rapidly growing video data accumulating in large multimedia archives. Innovative video processing and analysis techniques will play an increasingly important role in resolving the difficult task of video search and retrieval. A wide range of video-based applications have benefited from - vances in video search and mining including multimedia information mana- ment, human-computer interaction, security and surveillance, copyright prot- tion, and personal entertainment, to name a few. This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining research community. In comparison to other types of data mining (e. g. text), video mining is still in its infancy. Many challenging research problems are facing video mining researchers.



Dynamic Switching State Systems For Visual Tracking


Dynamic Switching State Systems For Visual Tracking
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Author : Becker, Stefan
language : en
Publisher: KIT Scientific Publishing
Release Date : 2020-12-02

Dynamic Switching State Systems For Visual Tracking written by Becker, Stefan and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-02 with Computers categories.


This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together.



Proceedings Of The 2020 Joint Workshop Of Fraunhofer Iosb And Institute For Anthropomatics Vision And Fusion Laboratory


Proceedings Of The 2020 Joint Workshop Of Fraunhofer Iosb And Institute For Anthropomatics Vision And Fusion Laboratory
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Author : Beyerer, Jürgen
language : en
Publisher: KIT Scientific Publishing
Release Date : 2021-06-22

Proceedings Of The 2020 Joint Workshop Of Fraunhofer Iosb And Institute For Anthropomatics Vision And Fusion Laboratory written by Beyerer, Jürgen and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Computers categories.


In 2020 fand der jährliche Workshop des Faunhofer IOSB und the Lehrstuhls für interaktive Echtzeitsysteme statt. Vom 27. bis zum 31. Juli trugen die Doktorranden der beiden Institute über den Stand ihrer Forschung vor in Themen wie KI, maschinellen Lernen, computer vision, usage control, Metrologie vor. Die Ergebnisse dieser Vorträge sind in diesem Band als technische Berichte gesammelt. - In 2020, the annual joint workshop of the Fraunhofer IOSB and the Vision and Fusion Laboratory of the KIT was hosted at the IOSB in Karlsruhe. For a week from the 27th to the 31st July the doctoral students of both institutions presented extensive reports on the status of their research and discussed topics ranging from computer vision and optical metrology to network security, usage control and machine learning. The results and ideas presented at the workshop are collected in this book.