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Advanced issues in artificial intelligence and pattern recognition for intelligent surveillance system in smart home environment

机译:智能家居环境中智能监控系统的人工智能和模式识别中的高级问题

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摘要

During the last decades, many researchers in image processing and AI community have been focused on developing image and video analysis and understanding. However, despite their extensive efforts on these, there are still several significant challenges such as robust object segmentation and tracking, motion feature extraction, context modeling, and machine learning algorithms. Therefore, more advanced related issues should be taken into account. We have selected nine research papers whose topics are strongly related to the intelligent surveillance system in smart home environment.
机译:在过去的几十年中,图像处理和AI社区的许多研究人员一直致力于开发图像和视频分析和理解。但是,尽管他们为此付出了巨大的努力,但仍然存在一些重大挑战,例如强大的对象分割和跟踪,运动特征提取,上下文建模和机器学习算法。因此,应考虑更高级的相关问题。我们选择了9篇研究论文,其主题与智能家居环境中的智能监控系统密切相关。

著录项

  • 来源
    《Engineering Applications of Artificial Intelligence》 |2012年第7期|p.1299-1300|共2页
  • 作者单位

    Division of Information and Communication, Baekseok University, Cheonan-city, Chungcheongnam-do, Korea;

    School of Informatics, University of Bradford, United Kingdom;

    Department of Mathematics, Computer Science and Information Systems, California University of Pennsylvania, USA;

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