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2018 | OriginalPaper | Buchkapitel

Regional Estimation Prior Network for Crowd Analyzing

verfasst von : Ping He, Meng Ma, Ping Wang

Erschienen in: Smart Computing and Communication

Verlag: Springer International Publishing

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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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Metadaten
Titel
Regional Estimation Prior Network for Crowd Analyzing
verfasst von
Ping He
Meng Ma
Ping Wang
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-030-05755-8_25