Multi-Camera Networks

Multi-Camera Networks pdf epub mobi txt 电子书 下载 2026

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出版者:Academic Press
作者:Aghajan, Hamid/ Cavallaro, Andrea
出品人:
页数:624
译者:
出版时间:2009-5-25
价格:USD 149.00
装帧:Hardcover
isbn号码:9780123746337
丛书系列:
图书标签:
  • 图像处理
  • 多摄像头系统
  • 计算机视觉
  • 图像处理
  • 网络
  • 分布式系统
  • 视频分析
  • 目标跟踪
  • 同步
  • 校准
  • 深度学习
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具体描述

The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications Presents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware This book is the definitive reference in multi-camera networks. It gives clear guidance on the conceptual and implementation issues involved in the design and operation of multi-camera networks, as well as presenting the state-of-the-art in hardware, algorithms and system development. The book is broad in scope, covering smart camera architectures, embedded processing, sensor fusion and middleware, calibration and topology, network-based detection and tracking, and applications in distributed and collaborative methods in camera networks. This book will be an ideal reference for university researchers, R&D engineers, computer engineers, and graduate students working in signal and video processing, computer vision, and sensor networks. Hamid Aghajan is a Professor of Electrical Engineering (consulting) at Stanford University. His research is on multi-camera networks for smart environments with application to smart homes, assisted living and well being, meeting rooms, and avatar-based communication and social interactions. He is Editor-in-Chief of Journal of Ambient Intelligence and Smart Environments, and was general chair of ACM/IEEE ICDSC 2008. Andrea Cavallaro is Reader (Associate Professor) at Queen Mary, University of London (QMUL). His research is on target tracking and audiovisual content analysis for advanced surveillance and multi-sensor systems. He serves as Associate Editor of the IEEE Signal Processing Magazine and the IEEE Trans. on Multimedia, and has been general chair of IEEE AVSS 2007, ACM/IEEE ICDSC 2009 and BMVC 2009.

The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring

Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications

Presents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware

Multi-Camera Networks是一本深入探讨多摄像头系统在现代计算机视觉中的重要性与应用的著作。这本书详细展现了这一领域的发展历程,从早期单摄像头应用到如今复杂多样的影像处理场景。它系统介绍了各种技术手段和算法,通过对不同传感器、视角及数据融合方法的综合运用,解决了传统单一摄像头在环境复杂度大、动态变化频繁等问题所面临的挑战。 书中首先分析了多摄像头系统的基本原理,解析了其在计算机视觉任务中的核心作用,包括目标检测、姿态估计、场景理解和事件识别等关键功能。通过大量实例与实验,读者能够清晰了解这些技术如何相互配合,为精准的智能应用奠定基础。此外,书籍还详细描述了不同摄像头配置在性能和成本之间的权衡,为科研人员和工程师提供了科学决策参考。 内容深入探讨了多视角数据融合的方法,如基于深度学习的高效特征提取、跨模态信息整合及动态环境下的实时处理策略。这些章节不仅介绍了理论框架,也结合实际案例,展示了这些技术在自动驾驶、安防监控、医疗影像分析等实际应用场景中的具体价值。通过对不同技术路径的比较和评估,读者能够全面掌握当前研究热点与未来发展方向。 书中还特别强调了数据质量和标注规范的重要性,提供了一系列提升多摄像头系统性能的优化建议。无论是设备配置、算法训练还是数据管理,这本书都提供了详细而实用的指导,使读者能够在实际项目中灵活应用。每个章节都以清晰逻辑和丰富案例为基础,确保内容深入浅出,易于理解与借鉴。 此外,Multi-Camera Networks特别注重总结当前研究成果与未来趋势,探索了从边缘计算到云端协同的新型架构。书中不仅介绍了各类新型网络结构如图神经网络、强化学习模型等,还提及了隐私保护和安全性问题,为行业提供了全面而前瞻的思路。 总体而言,这本书系统地梳理了多摄像头技术在视觉智能领域的重要性与发展脉络,是对读者深入学习的有力工具,适用于计算机视觉、数据科学及相关领域的从业者和研究人员。通过详尽的内容与实际案例分析,这本书不仅传递知识,更激发了读者解决复杂问题的思考。

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