Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation

1 code implementation • 29 Jan 2021 • Yu-Jen Ma, Hong-Han Shuai, Wen-Huang Cheng

In this paper, we propose a novel SpatioTemporal convolutional Dense Network (STDNet) to address the video-based crowd counting problem, which contains the decomposition of 3D convolution and the 3D spatiotemporal dilated dense convolution to alleviate the rapid growth of the model size caused by the Conv3D layer.

Crowd Counting