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Crowd Density Field Estimation Based on Crowd Dynamics Theory and Social Force Model
- Source :
- Chinese Journal of Electronics. 28:521-528
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- The local crowd density and the crowd distribution estimation tasks are useful but challenging. There are two main problems which limit the performance of existing algorithms. The first one is that there are not enough labeled training samples to build the high-performance estimation model. Another one is that existing methods lack the supports of physical theories of the crowd. To remedy them, a novel crowd density field model is proposed, which is deduced by jointing crowd dynamics theory and social force model. A crowd counting method based on the proposed crowd density field model is introduced to measure the proposed crowd density field model. Extensive experiments confirm the effectiveness of the proposed plan.
- Subjects :
- Estimation
Crowd dynamics
Computer science
business.industry
Applied Mathematics
Feature extraction
Machine learning
computer.software_genre
Measure (mathematics)
Object detection
Field (computer science)
Quantitative Biology::Subcellular Processes
Data_GENERAL
Social force model
Limit (mathematics)
Artificial intelligence
Electrical and Electronic Engineering
business
computer
Subjects
Details
- ISSN :
- 20755597 and 10224653
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Chinese Journal of Electronics
- Accession number :
- edsair.doi...........83c3ca08da8e93d340b7dbc6e1f7aead
- Full Text :
- https://doi.org/10.1049/cje.2019.03.021