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Recognition of Multi-Agent Interaction in Video Surveillance

Yuri A. Ivanov, Aaron F. Bobick
ICCV 1999 pp. 169-176
doi:10.1109/ICCV.1999.791214 /iccv/1999/ivanov1999iccv-recognition/

Abstract

This paper describes a probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents. A complete system consisting of an adaptive tracker, an event generator and the parser performs segmentation and labelling of a surveillance video of a parking lot; the system correctly identifies activities such as pick-up and drop-off, which involve person-vehicle interactions. The main contributions of this paper are extending the parsing algorithm to handle multi-agent interactions within a single parser, providing a general mechanism for consistency-based pruning, and developing an efficient incremental parsing algorithm.

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Cite

Text

Ivanov and Bobick. "Recognition of Multi-Agent Interaction in Video Surveillance." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.791214

Markdown

[Ivanov and Bobick. "Recognition of Multi-Agent Interaction in Video Surveillance." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/ivanov1999iccv-recognition/) doi:10.1109/ICCV.1999.791214

BibTeX

@inproceedings{ivanov1999iccv-recognition,
  title     = {{Recognition of Multi-Agent Interaction in Video Surveillance}},
  author    = {Ivanov, Yuri A. and Bobick, Aaron F.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1999},
  pages     = {169-176},
  doi       = {10.1109/ICCV.1999.791214},
  url       = {https://mlanthology.org/iccv/1999/ivanov1999iccv-recognition/}
}