LSTN combines CNN density estimation per frame with a locality-constrained spatial transformer to relate density maps across neighboring video frames for crowd counting and introduces a new 15K-frame video dataset.
Fcn-rlstm: Deep spatio-temporal neural networks for vehicle counting in city cameras,
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Locality-constrained Spatial Transformer Network for Video Crowd Counting
LSTN combines CNN density estimation per frame with a locality-constrained spatial transformer to relate density maps across neighboring video frames for crowd counting and introduces a new 15K-frame video dataset.