標(biāo)題: Titlebook: Distributed Video Sensor Networks; Bir Bhanu,Chinya V. Ravishankar,Demetri Terzopoulo Book 2011 Springer-Verlag London Limited 2011 Camera [打印本頁] 作者: 不要提吃飯 時(shí)間: 2025-3-21 19:28
書目名稱Distributed Video Sensor Networks影響因子(影響力)
書目名稱Distributed Video Sensor Networks影響因子(影響力)學(xué)科排名
書目名稱Distributed Video Sensor Networks網(wǎng)絡(luò)公開度
書目名稱Distributed Video Sensor Networks網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Distributed Video Sensor Networks被引頻次
書目名稱Distributed Video Sensor Networks被引頻次學(xué)科排名
書目名稱Distributed Video Sensor Networks年度引用
書目名稱Distributed Video Sensor Networks年度引用學(xué)科排名
書目名稱Distributed Video Sensor Networks讀者反饋
書目名稱Distributed Video Sensor Networks讀者反饋學(xué)科排名
作者: Outspoken 時(shí)間: 2025-3-21 20:29 作者: 清楚 時(shí)間: 2025-3-22 00:36
Africa: Central Independent States simultaneously recover the multiple-view object features based on a distributed compressive sensing theory. The system has been implemented on the Berkeley CITRIC smart camera platform. The efficacy of the algorithm is validated through extensive simulation and experiment.作者: 繁重 時(shí)間: 2025-3-22 06:19
https://doi.org/10.1057/9780230253223nce matrix is thus used for detecting moving objects whose behavior differs from the ones observed during the training phase. Interestingly, the Markov-Random Field distribution implicitly accounts for speed, direction, as well as the average size of the objects without any higher-level intervention作者: 無動(dòng)于衷 時(shí)間: 2025-3-22 10:06 作者: allergen 時(shí)間: 2025-3-22 15:21 作者: allergen 時(shí)間: 2025-3-22 20:21
Rhodesia (formerly Southern Rhodesia)an deviate considerably from planar, white and Lambertian—with multiple active displays; (b) provide scalability and reconfigurability (in terms of scale, resolution and form factor) of displays; (c) provide a framework for shared viewing and interaction modalities for multiple users.作者: 摘要記錄 時(shí)間: 2025-3-22 23:17
Book 2011opics and features: presents an overview of research in areas of motion analysis, invariants, multiple cameras for detection, object tracking and recognition, and activities in video networks; provides real-world applications of distributed video networks, including force protection, wide area activ作者: CULP 時(shí)間: 2025-3-23 02:29 作者: 折磨 時(shí)間: 2025-3-23 08:55 作者: 革新 時(shí)間: 2025-3-23 12:10 作者: 同音 時(shí)間: 2025-3-23 15:12
Multiple-View Object Recognition in Smart Camera Networks simultaneously recover the multiple-view object features based on a distributed compressive sensing theory. The system has been implemented on the Berkeley CITRIC smart camera platform. The efficacy of the algorithm is validated through extensive simulation and experiment.作者: Asseverate 時(shí)間: 2025-3-23 21:56 作者: 包租車船 時(shí)間: 2025-3-23 23:56
Virtual Visionke virtual pedestrians. The easily reconfigurable virtual cameras distributed in this environment generate synthetic video feeds that emulate those acquired by real surveillance cameras monitoring public spaces. The novel multi-camera control strategies that we describe enable the cameras to collabo作者: 憤怒歷史 時(shí)間: 2025-3-24 02:50
Virtualization and Programming Support for?Video Sensor Networks with Application to?Wireless and Phwhile high-level languages, compilers and execution environments allow novice SN programmers to compose SN service logic, unaware of the lower-level components on which their services rely. Concrete examples are provided to illustrate the power and potential of Wireless Security Services that span b作者: 產(chǎn)生 時(shí)間: 2025-3-24 06:38
Ubiquitous Displays: A Distributed Network of?Active Displaysan deviate considerably from planar, white and Lambertian—with multiple active displays; (b) provide scalability and reconfigurability (in terms of scale, resolution and form factor) of displays; (c) provide a framework for shared viewing and interaction modalities for multiple users.作者: 騙子 時(shí)間: 2025-3-24 11:44 作者: Embolic-Stroke 時(shí)間: 2025-3-24 18:31 作者: Comedienne 時(shí)間: 2025-3-24 21:34
Toward Robust Online Visual Trackingn computer vision. Robust cognitive visual tracking algorithms facilitate answering important questions regarding how objects move and interact in complex environments. They have broad applications including surveillance, navigation, human computer interfaces, object recognition, motion analysis and video indexing, to name a few.作者: overweight 時(shí)間: 2025-3-25 00:00
Use of Context in Video Processing to information obtained and accumulated from the user. Both types of context can include static or dynamic contextual elements. Examples from a smart home environment are presented to illustrate how different types of contextual data can be applied to aid the decision-making process.作者: 肉身 時(shí)間: 2025-3-25 04:34
Simulating Human Activities for Synthetic Inputs to Sensor Systems which permits the authoring of functional crowds of people going about role-, context-, and schedule-dependent activities. The capabilities and authoring tools for these functional crowd simulations are described with the intention of readily creating ground truth data for distributed sensor system design and evaluation.作者: Femish 時(shí)間: 2025-3-25 07:57 作者: Cholagogue 時(shí)間: 2025-3-25 11:38 作者: MAUVE 時(shí)間: 2025-3-25 16:46 作者: 瑣碎 時(shí)間: 2025-3-25 22:09
J. Scott Keltie (Assistant Secretary)tion, object appearance measurement is employed to validate the labeling results. Experimental results demonstrate the performance of our approach on real video sequences for cameras with overlapping and non-overlapping views.作者: Encephalitis 時(shí)間: 2025-3-26 02:43
A Comparison of Techniques for Camera Selection and Hand-Off in a Video Network experimental comparison using centralized and distributed computational models. We provide simulation and experimental results using real data for various scenarios of a large number of cameras and objects for in-depth understanding of strengths and weaknesses of these techniques.作者: Femine 時(shí)間: 2025-3-26 06:09
Distributed Sensing and Processing for?Multi-Camera Networksand parallelized implementations of popular tools used for statistical inference in non-linear systems, of which multi-camera systems are examples. Finally, we highlight the use of the emerging theory of compressive sensing in reducing the amount of data sensed and communicated by a camera network.作者: 坦白 時(shí)間: 2025-3-26 10:34
Tracking of Multiple Objects over Camera Networks with Overlapping and Non-overlapping Viewstion, object appearance measurement is employed to validate the labeling results. Experimental results demonstrate the performance of our approach on real video sequences for cameras with overlapping and non-overlapping views.作者: FILLY 時(shí)間: 2025-3-26 16:14 作者: oracle 時(shí)間: 2025-3-26 20:18
https://doi.org/10.1057/9780230253223n computer vision. Robust cognitive visual tracking algorithms facilitate answering important questions regarding how objects move and interact in complex environments. They have broad applications including surveillance, navigation, human computer interfaces, object recognition, motion analysis and video indexing, to name a few.作者: obeisance 時(shí)間: 2025-3-27 00:33
Africa: Central Independent States to information obtained and accumulated from the user. Both types of context can include static or dynamic contextual elements. Examples from a smart home environment are presented to illustrate how different types of contextual data can be applied to aid the decision-making process.作者: 衰弱的心 時(shí)間: 2025-3-27 03:57
The Statesman‘s Year-Book 1965-66 which permits the authoring of functional crowds of people going about role-, context-, and schedule-dependent activities. The capabilities and authoring tools for these functional crowd simulations are described with the intention of readily creating ground truth data for distributed sensor system design and evaluation.作者: Eructation 時(shí)間: 2025-3-27 07:12
oad range of disciplines.Provides real-world applications of.Large-scale video networks are of increasing importance in a wide range of applications. However, the development of automated techniques for aggregating and interpreting information from multiple video streams in real-life scenarios is a 作者: 假裝是我 時(shí)間: 2025-3-27 09:49
Other International Organizationsnarios include cognitive vehicles and buildings in which the system understands itself and the activities in and around it by means of distributed video and other sensors. This includes discovery of the cognitive system’s own sensing and actuation capabilities.作者: Conducive 時(shí)間: 2025-3-27 13:54 作者: 記成螞蟻 時(shí)間: 2025-3-27 20:05
http://image.papertrans.cn/e/image/281962.jpg作者: 廣告 時(shí)間: 2025-3-28 01:29 作者: 和平主義者 時(shí)間: 2025-3-28 03:13
978-1-4471-5727-4Springer-Verlag London Limited 2011作者: COST 時(shí)間: 2025-3-28 07:05
https://doi.org/10.1057/9780230270411aggregating and interpreting information from multiple video streams in large-scale networks in real-life scenarios is very challenging. Research in video sensor networks is highly interdisciplinary and requires expertise from a variety of fields. The goal of this effort was to organize a two-day na作者: floaters 時(shí)間: 2025-3-28 11:00
https://doi.org/10.1057/9780230253223n, the use of a camera and a computer to recognize objects, people and/or events automatically, is a relatively young field of research. Its development began in the early 1960s; however, it has matured fairly quickly. Today, it is contributing to the solutions of some of the most serious societal p作者: Offensive 時(shí)間: 2025-3-28 16:27 作者: medieval 時(shí)間: 2025-3-28 20:27
Africa: Central Independent Statestions such as visual surveillance to track and identify objects of interest, and overcome visual nuisances such as occlusion and pose variations between multiple camera views. To accommodate limited bandwidth between the cameras and the base-station computer, the method utilizes the available comput作者: CLOUT 時(shí)間: 2025-3-28 23:02
Africa: Central Independent Statesvarious tasks. One of the most basic tasks is the tracking of objects, which requires mechanisms to select a camera for a certain object and hand-off this object from one camera to another so as to accomplish seamless tracking. In this chapter, we provide a comprehensive comparison of current and em作者: Synthesize 時(shí)間: 2025-3-29 04:00 作者: Daily-Value 時(shí)間: 2025-3-29 07:55 作者: intercede 時(shí)間: 2025-3-29 14:39 作者: conjunctiva 時(shí)間: 2025-3-29 19:34
https://doi.org/10.1057/9780230253223hes for which objects are identified, classified, and tracked to locate objects with suspicious behavior, we proceed directly with event characterization and behavior modeling using low-level features. Our approach consists of two-phases. In the first phase, co-occurrence of activity between tempora作者: arbiter 時(shí)間: 2025-3-29 21:47
Africa: Central Independent Statesfferent sources. In this chapter, we discuss two broad categories of contextual sources: environmental context and user-centric context. Environmental context refers to information derived from domain knowledge or from concurrently sensed effects in the area of operation. User-centric context refers作者: 談判 時(shí)間: 2025-3-30 01:57 作者: Pruritus 時(shí)間: 2025-3-30 07:10
The Statesman‘s Year-Book 1965-66r in order to prevent further malicious wireless broadcasts (i.e., escorting an intruder off the premises based on physical evidence). Embedded Sensor Networks (SNs) can be used to bridge the gap between digital and physical security planes, and thus can provide reciprocal benefit to security tasks 作者: 盡管 時(shí)間: 2025-3-30 08:31
The Statesman‘s Year-Book 1965-66 models of pedestrian density and flows at a number of urban locations and to correlate those flows with population movement and density models represented in a spatiotemporal modeling system. In order to create known populace flows, we have built a virtual populace simulation system, called CAROSA,作者: intrude 時(shí)間: 2025-3-30 13:07 作者: Eosinophils 時(shí)間: 2025-3-30 19:46
Rhodesia (formerly Southern Rhodesia)embers of the workspace interacting with data, user, environment and other displays. The goal is to integrate such active displays seamlessly with the environment making them ubiquitous to multiple users and data. Such ubiquitous display can be a critical component of the future collaborative worksp作者: FRAUD 時(shí)間: 2025-3-30 23:43 作者: PHAG 時(shí)間: 2025-3-31 01:00
Motion Analysis: Past, Present and Futuren, the use of a camera and a computer to recognize objects, people and/or events automatically, is a relatively young field of research. Its development began in the early 1960s; however, it has matured fairly quickly. Today, it is contributing to the solutions of some of the most serious societal p作者: 難取悅 時(shí)間: 2025-3-31 07:35
Projective Joint Invariants for Matching Curves in Camera Networkss in the real projective space are the volume cross ratios. A curve in .-dimensional projective space is represented by a signature manifold comprising .-point projective joint invariants, where . is at least .+2. The signature manifold can be used to establish equivalence of two curves in projectiv作者: deface 時(shí)間: 2025-3-31 12:42 作者: anesthesia 時(shí)間: 2025-3-31 13:41
A Comparison of Techniques for Camera Selection and Hand-Off in a Video Networkvarious tasks. One of the most basic tasks is the tracking of objects, which requires mechanisms to select a camera for a certain object and hand-off this object from one camera to another so as to accomplish seamless tracking. In this chapter, we provide a comprehensive comparison of current and em作者: Protein 時(shí)間: 2025-3-31 18:02 作者: blight 時(shí)間: 2025-3-31 22:21
