An exploratory analysis tool for a long-term video from a stationary camera

Ryoji Nogami*, Buntarou Shizuki, Hiroshi Hosobe, Jiro Tanaka

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

We present an interactive tool for the exploratory analysis of a long-term video from a stationary camera. The tool consists of three key methods: spatial change visualization, temporal change visualization, and similarity-based video retrieval. The first two methods provide the summarization of the long-term video that lets the user know where and when changes frequently occurred during a certain period, enabling the user to find an event of interest from the long-term video. In addition, with the third method, the user can search the video for a similar event, enabling the user to count events of interest and to observe distributions of such events. These methods are uniformly implemented using frame differences in 1-bit depth, making the implementation of these methods simple but efficient.

本文言語English
ホスト出版物のタイトルProceedings - 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, ICTAI 2012
ページ32-37
ページ数6
DOI
出版ステータスPublished - 2012 12月 1
外部発表はい
イベント2012 IEEE 24th International Conference on Tools with Artificial Intelligence, ICTAI 2012 - Athens, Greece
継続期間: 2012 11月 72012 11月 9

出版物シリーズ

名前Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
2
ISSN(印刷版)1082-3409

Other

Other2012 IEEE 24th International Conference on Tools with Artificial Intelligence, ICTAI 2012
国/地域Greece
CityAthens
Period12/11/712/11/9

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能
  • コンピュータ サイエンスの応用

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