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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. ... The proposed model has two related tasks, with Crowd Density Estimation as the main task and Crowd-Count Group Classification as the auxiliary task. ... CONCLUSION We have proposed a novel end-to-end model, MTCNet, based on the multi-task learning paradigm to jointly train the crowd density map (main task) and the count group classification (auxiliary ...arXiv:1908.08652v1 fatcat:s7kywoktxzfdhfyl5tmu3mv3x4