Abstract
Crowd analysis from images or videos is an important technology for public safety. CNN-based multi-column methods are widely used in this area. Multi-column methods can enhance the ability of exacting various-scale features for the networks, but they may introduce the drawbacks of complicating and functional redundancy. To deal with this problem, we proposed a multi-task and multi-column network. With the support of a regional estimation prior task, components of network may pay more attention to their own target functions respectively. In this way, the functional redundancy can be reduced and the performance of network can be enhanced. Finally, we evaluated our method in public datasets and monitoring videos.
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This work is supported in part by National Key R&D Program of China No. 2017YFB1200700 and National Natural Science Foundation of China No. 61701007.
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He, P., Ma, M., Wang, P. (2018). Regional Estimation Prior Network for Crowd Analyzing. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2018. Lecture Notes in Computer Science(), vol 11344. Springer, Cham. https://doi.org/10.1007/978-3-030-05755-8_25
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DOI: https://doi.org/10.1007/978-3-030-05755-8_25
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