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Titlebook: Wide Area Surveillance; Real-time Motion Det Vijayan K. Asari Book 2014 Springer-Verlag Berlin Heidelberg 2014 Activity Monitoring.Airborne

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书目名称Wide Area Surveillance
副标题Real-time Motion Det
编辑Vijayan K. Asari
视频video
概述Written by experts in the field of wide are surveillance.Gives a comprehensive update on the building an intelligent camera in the area of detection systems and.Describes new algorithms for signal and
丛书名称Augmented Vision and Reality
图书封面Titlebook: Wide Area Surveillance; Real-time Motion Det Vijayan K. Asari Book 2014 Springer-Verlag Berlin Heidelberg 2014 Activity Monitoring.Airborne
描述The book describes a system for visual surveillance using intelligent cameras. The camera uses robust techniques for detecting and tracking moving objects. The real time capture of the objects is then stored in the database. The tracking data stored in the database is analysed to study the camera view, detect and track objects, and study object behavior. These set of models provide a robust framework for coordinating the tracking of objects between overlapping and non-overlapping cameras, and recording the activity of objects detected by the system.
出版日期Book 2014
关键词Activity Monitoring; Airborne; Computer Vision; Digital System Architectures; Image Registration; Machine
版次1
doihttps://doi.org/10.1007/978-3-642-37841-6
isbn_softcover978-3-662-50962-3
isbn_ebook978-3-642-37841-6Series ISSN 2190-5916 Series E-ISSN 2190-5924
issn_series 2190-5916
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

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https://doi.org/10.1007/978-3-642-37841-6Activity Monitoring; Airborne; Computer Vision; Digital System Architectures; Image Registration; Machine
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Background Subtraction: Theory and Practice,al algorithms have been developed for background subtraction and were used in various important applications such as visual surveillance, sports video analysis, motion capture, etc. Various statistical approaches have been proposed to model scene backgrounds. In this chapter we review the concept an
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Moving Object Detection and Tracking in Wide Area Motion Imagery,. This chapter presents a new methodology for moving object detection and tracking in such low resolution wide area imagery that can work well in varying conditions as well as for very small objects like pedestrians. The basic concept that has been used for the development of this algorithm is that
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Recognizing Complex Human Activities via Crowd Context,f the coherent behavior among individuals in a spatial and temporal neighborhood. Examples of collective activities are queuing in a line or talking. Such types of activities cannot be just defined by considering actions of individuals in isolation but rather by observing the interactions of nearby
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Event Based Switched Dynamic Bayesian Networks for Autonomous Cognitive Crowd Monitoring,esearch, automatic support to the human decisions based on object detection, tracking and situation assessment tools is integrated as a part of a complete cognitive artificial process including security maintenance procedures actions that are in the scope of the system. In such cases an IVS needs to
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