Discovering unusual behavior patterns from motion data

Kai Lin Pang, Guan Hong Chen, Wei-Guang Teng

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

As there are more and more surveillance cameras installed in public places, a challenging problem is to discover unusual behavior patterns from a huge amount of video data. However, this task is currently only feasible for human beings because both object recognition and intention detection are still difficult for computer vision. Recently, the development of low-cost depth cameras significantly improves the efficiency and effectiveness of capturing motion data. We thus propose in this work an algorithmic scheme that extracts unusual behavior patterns from motion capture data. Specifically, feature extraction and data clustering techniques are applied in our scheme so as to detect such outlier patterns. Example applications of our scheme include public area surveillance and home healthcare.

原文English
主出版物標題2013 IEEE International Conference on Consumer Electronics, ICCE 2013
頁面242-243
頁數2
DOIs
出版狀態Published - 2013 四月 24
事件2013 IEEE International Conference on Consumer Electronics, ICCE 2013 - Las Vegas, NV, United States
持續時間: 2013 一月 112013 一月 14

出版系列

名字Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN(列印)0747-668X

Other

Other2013 IEEE International Conference on Consumer Electronics, ICCE 2013
國家United States
城市Las Vegas, NV
期間13-01-1113-01-14

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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  • 引用此

    Pang, K. L., Chen, G. H., & Teng, W-G. (2013). Discovering unusual behavior patterns from motion data. 於 2013 IEEE International Conference on Consumer Electronics, ICCE 2013 (頁 242-243). [6486877] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). https://doi.org/10.1109/ICCE.2013.6486877