Corpus ID: 201645333

MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation

@article{Kumar2019MTCNETML,
  title={MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation},
  author={Abhay Kumar and Nishant Jain and Suraj Tripathi and Chirag Singh and K. Chaitanya Krishna},
  journal={ArXiv},
  year={2019},
  volume={abs/1908.08652}
}
We propose a Multi-Task Learning (MTL) paradigm based deep neural network architecture, called MTCNet (Multi-Task Crowd Network) for crowd density and count estimation. Crowd count estimation is challenging due to the non-uniform scale variations and the arbitrary perspective of an individual image. The proposed model has two related tasks, with Crowd Density Estimation as the main task and Crowd-Count Group Classification as the auxiliary task. The auxiliary task helps in capturing the… Expand
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