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.
Csrnet: Dilated con- volutional neural networks for understanding the highly congested scenes,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.