ML Anthology

Multimodal Complex Event Detection Framework for Wide Area Surveillance

Himaanshu Gupta, Li Yu, Asaad Hakeem, Tae Eun Choe, Niels Haering, Michael E. Locasto
CVPRW 2011 pp. 47-54
doi:10.1109/CVPRW.2011.5981746 /cvprw/2011/gupta2011cvprw-multimodal/

Abstract

There is an increasing demand for detecting complex events from heterogeneous sensor networks to support the Global War On Terror (GWOT). This paper presents a framework addressing several vital aspects of a multimodal complex event detection system for wide area surveillance. The paper discusses the key modules for an effective system including complex event specification, cross-camera tracking for wide area surveillance, simple and complex event detection from video and network data, and high-level complex event inference from multimodal data using Markov Logic Networks. A novel testing framework is also discussed for data collection, system debugging and performance evaluation.

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Cite

Text

Gupta et al. "Multimodal Complex Event Detection Framework for Wide Area Surveillance." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981746

Markdown

[Gupta et al. "Multimodal Complex Event Detection Framework for Wide Area Surveillance." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/gupta2011cvprw-multimodal/) doi:10.1109/CVPRW.2011.5981746

BibTeX

@inproceedings{gupta2011cvprw-multimodal,
  title     = {{Multimodal Complex Event Detection Framework for Wide Area Surveillance}},
  author    = {Gupta, Himaanshu and Yu, Li and Hakeem, Asaad and Choe, Tae Eun and Haering, Niels and Locasto, Michael E.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2011},
  pages     = {47-54},
  doi       = {10.1109/CVPRW.2011.5981746},
  url       = {https://mlanthology.org/cvprw/2011/gupta2011cvprw-multimodal/}
}