Count crowds with multiple cameras for wider view with CVCS
Count crowds with multiple cameras for wider view with CVCS
Cross-View Cross-Scene Multi-View Crowd Counting
arXiv paper abstract https://arxiv.org/abs/2205.01551v1
arXiv PDF paper https://arxiv.org/pdf/2205.01551v1.pdf
Multi-view crowd counting has been ... proposed to utilize multi-cameras to extend the field-of-view of a single camera, capturing more people in the scene, and improve counting performance for occluded people or those in low resolution.
However, the current multi-view paradigm trains and tests on the same single scene and camera-views, which limits its practical application.
... propose a cross-view cross-scene (CVCS) multi-view crowd counting paradigm, where the training and testing occur on different scenes with arbitrary camera layouts.
To ... handle ... fusion under scene and camera layout change and non-correspondence ... model that attentively selects and fuses multiple views together using camera layout geometry, and a noise view regularization
... test ... trained CVCS model on real multi-view counting datasets, by using unsupervised domain transfer.
... CVCS model trained on synthetic data outperforms the same model trained only on real data, and ... promising performance compared to fully supervised methods that train and test on the same single scene.
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