Regional estimation prior network for crowd analyzing

Ping He, Meng Ma, Ping Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationSmart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings
EditorsMeikang Qiu
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783030057541
StatePublished - 2018
Externally publishedYes
Event3rd International Conference on Smart Computing and Communications, SmartCom 2018 - Tokyo, Japan
Duration: 10 Dec 201812 Dec 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11344 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Conference on Smart Computing and Communications, SmartCom 2018


  • Crowd analysis
  • Multi-column
  • Multi-task
  • Regional estimation
  • Various-scale features


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