mondalanindya / ICCVW2021_GSCEventMOD

Moving Object Detection for Event-based vision using Graph Spectral Clustering (Python implementation)

Home Page:https://openaccess.thecvf.com/content/ICCV2021W/GSP-CV/papers/Mondal_Moving_Object_Detection_for_Event-Based_Vision_Using_Graph_Spectral_Clustering_ICCVW_2021_paper.pdf

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GSCEventMOD

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Python implementation for 'Moving Object Detection for Event-based Vision using Graph Spectral Clustering', ICCV Workshops 2021

Authors

Anindya Mondal*, Shashant R*, Jhony H. Giraldo", Thierry Bouwmans" and Ananda S. Chowdhury*

Institutional affiliations: * Jadavpur University, Kolkata, India; " Laboratoire Mathématiques, Image et Applications (MIA), Univ. La Rochelle, France

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PWC

Pipeline

Paper (CVF Open Access Version), (DOI)

For generating synthetic event-data from any frame-based video, please refer to the v2e framework developed by the Institute of Neuroinformatics, University of Zurich and ETH Zurich.

If you find our work useful, please consider citing:


@inproceedings{mondal2021moving,
  title={Moving Object Detection for Event-based Vision using Graph Spectral Clustering},
  author={Mondal, Anindya and Shashant, R and Giraldo, Jhony H and Bouwmans, Thierry and Chowdhury, Ananda S},
  booktitle={2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
  pages={876--884},
  year={2021},
  organization={IEEE}
}