Video and audio analytics algorithms for cloud-based remote monitoring systems

用于基于云的远程监控系统的视频和音频分析算法

• 批准号: 494881-2016
• 负责人: Laganière, Robert
• 金额: $ 3.5万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=603341
• 关键词: Video; audio; analytics; algorithms; cloud

The objective of this research aims at developing effective methods and algorithms for the analysis of the video and audio signals captured by a remote monitoring system. This research will be done in partnership with iWatchLife, an Ottawa-based company. The research will focus on identifying, developing, implementing and testing the most appropriate approaches for the recognition of humans and animals in images and videos; the automatic generation of video summaries; the recognition and detection of abnormal audio events, the recognition/verification of a speaker identity using audio, and the detection and classification of baby sounds.

本研究的目的是开发有效的方法和算法，用于分析远程监控系统捕获的视频和音频信号。这项研究将与总部位于渥太华的iWatchLife公司合作完成。该研究将侧重于识别，开发，实施和测试最合适的方法，用于识别图像和视频中的人类和动物;自动生成视频摘要;识别和检测异常音频事件，使用音频识别/验证说话者身份，以及检测和分类婴儿声音。