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  1. Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities (AIIP '13)
  2. A motion detection system for video surveillance
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Real-life activity recognition: recognizing reading activities
Demand-driven power saving by multiagent negotiation for HVAC control
A semantic approach to retrieving, linking, and integrating heterogeneous geospatial data
Intention-aware routing to minimise delays at electric vehicle charging stations: the research related to this demonstration has been published at IJCAI 2013 [1]
Open data for inclusive governance
Interdependent multi-issue negotiation for energy exchange in remote communities
Democratizing mobile app development for disaster management
A motion detection system for video surveillance
On the challenges of balancing privacy and utility of open health data
A framework for short-term activity-aware load forecasting
A computational model for corruption assessment

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A motion detection system for video surveillance

Content Provider ACM Digital Library
Author Saitta, L. Moio, A. Giordana, A.
Abstract In this paper we describe a motion detection module, which is part of Horus, a video surveillance system already deployed in field. The module integrates and improves upon existing algorithms, whose combination proves to be particularly effective in automatically detecting motion sequences in very noisy outdoor environments, with both diurnal and nocturnal illumination conditions. The system has been tested on some public-domain benchmarks, and also on a real application.
Starting Page 17
Ending Page 22
Page Count 6
File Format PDF
ISBN 9781450323468
DOI 10.1145/2516911.2516921
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-08-04
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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