Using an audio and vision transformer to count crowds

Using an audio and vision transformer to count crowds

Audio-Visual Transformer Based Crowd Counting

arXiv paper abstract https://arxiv.org/abs/2109.01926

arXiv PDF paper https://arxiv.org/pdf/2109.01926.pdf

Crowd estimation is a very challenging problem.

... address the critical challenges in crowd counting by effectively utilizing both visual and audio inputs

... introduces the notion of auxiliary and explicit image patch-importance ranking (PIR) and patch-wise crowd estimate (PCE) information to produce a third (run-time) modality.

These modalities (audio, visual, run-time) undergo a transformer-inspired cross-modality co-attention mechanism to finally output the crowd estimate.

... proposed scheme outperforms the state-of-the-art networks under all evaluation settings with up to 33.8% improvement.

We also analyze and compare the vision-only variant of our network and empirically demonstrate its superiority over previous approaches.

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