T23 - Revision history

Faber at 08:51, 29 June 2016

2016-06-29T08:51:37Z

Faber at 08:12, 1 April 2016

2016-04-01T08:12:06Z

Faber at 10:57, 21 March 2016

2016-03-21T10:57:16Z

Faber at 13:30, 24 February 2016

2016-02-24T13:30:31Z

Faber at 12:40, 24 February 2016

2016-02-24T12:40:06Z

Faber at 14:31, 23 February 2016

2016-02-23T14:31:43Z

Faber: Created page with " {| id="mp-upper" style="width: 80%; margin:4px 0 0 0; background:none; border-spacing: 0px;"

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 | style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#d6efd6; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #bdd6c6; text-align:left; color:#000; padding:0.2em 0.4em;">T23 Information Fusion in Resource-Limited Camera Networks</h2>
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-| style="color:#000;" | <div id="mp-tfa" style="padding:2px 5px">'''Length:''' 3 hours (half day)
+| style="color:#000;" | <div id="mp-tfa" style="padding:2px 5px">'''Length:''' 3 hours
 '''Intended Audience:''' Researchers, system designers and developers from industry and academia working on data captured by cameras and camera networks. People desiring to learn results and methods for fusing data produced by or request from smart cameras for applications such as distributed decision making, collaborative robotics, (mobile) surveillance and generic multi-camera target tracking. People wishing to learn to use a holistic simulator for the comprehensive modelling of this type of rapidly emerging applications.

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 | style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#d6efd6; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #bdd6c6; text-align:left; color:#000; padding:0.2em 0.4em;">T23 Information Fusion in Resource-Limited Camera Networks</h2>
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-| style="color:#000;" | <div id="mp-tfa" style="padding:2px 5px">
+| style="color:#000;" | <div id="mp-tfa" style="padding:2px 5px">'''Length:''' 3 hours (half day)
-<!-- '''Intended Audience:'''
-'''Description:'''
+'''Intended Audience:''' Researchers, system designers and developers from industry and academia working on data captured by cameras and camera networks. People desiring to learn results and methods for fusing data produced by or request from smart cameras for applications such as distributed decision making, collaborative robotics, (mobile) surveillance and generic multi-camera target tracking. People wishing to learn to use a holistic simulator for the comprehensive modelling of this type of rapidly emerging applications.
-       -->
-'''Presenter:''' Andrea Cavallaro and Juan C. SanMiguel
+'''Description:''' Recent hardware advances such as multi-core high-speed platforms allow smart cameras to perform multiple tasks whilst observing a scene. Smart-camera networks are becoming ubiquitous and have the potential to enable a wide range of real-time services for vehicular ad-hoc networks, smart cities, wide-area surveillance, smart homes and disaster management. These networks of cameras with inbuilt processing and communication capabilities produce high-dimensional signals and share high-data-rate messages and generally operate with limited resources.
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