Robust low rank dynamic mode decomposition for compressed domain crowd and traffic flow analysis

@article{Dicle2016RobustLR,
  title={Robust low rank dynamic mode decomposition for compressed domain crowd and traffic flow analysis},
  author={Caglayan Dicle and Hassan Mansour and Dong Tian and Mouhacine Benosman and Anthony Vetro},
  journal={2016 IEEE International Conference on Multimedia and Expo (ICME)},
  year={2016},
  pages={1-6}
}
In this paper, we develop a dynamic mode decomposition algorithm that is robust to both inlier and outlier noise in the data. One application of our algorithm is the identification of multiple crowd or traffic flows from compressed video streams. Our method uses motion vectors that are readily available in the compressed bitstream, and do not require computationally expensive optical flow. These motion vectors are known to be very noisy, however, our algorithm is able to extract the underlying… CONTINUE READING