Moving Object Detection for Event-based Vision using Graph Spectral Clustering

@article{Mondal2021MovingOD,
  title={Moving Object Detection for Event-based Vision using Graph Spectral Clustering},
  author={Anindya Mondal and R Shashant and Jhony H. Giraldo and Thierry Bouwmans and Ananda S. Chowdhury},
  journal={2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
  year={2021},
  pages={876-884}
}
Moving object detection has been a central topic of discussion in computer vision for its wide range of applications like in self-driving cars, video surveillance, security, and enforcement. Neuromorphic Vision Sensors (NVS) are bio-inspired sensors that mimic the working of the human eye. Unlike conventional frame-based cameras, these sensors capture a stream of asynchronous ‘events’ that pose multiple advantages over the former, like high dynamic range, low latency, low power consumption, and… 

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