Cargando…
Counting Crowds with Perspective Distortion Correction via Adaptive Learning
The goal of crowd counting is to estimate the number of people in the image. Presently, use regression to count people number became a mainstream method. It is worth noting that, with the development of convolutional neural networks (CNN), methods that are based on CNN have become a research hotspot...
Autores principales: | Sun, Yixuan, Jin, Jian, Wu, Xingjiao, Ma, Tianlong, Yang, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374275/ https://www.ncbi.nlm.nih.gov/pubmed/32640552 http://dx.doi.org/10.3390/s20133781 |
Ejemplares similares
-
Congested Crowd Counting via Adaptive Multi-Scale Context Learning †
por: Zhang, Yani, et al.
Publicado: (2021) -
Crowd counting: a behavioural economics perspective
por: Phillips, Peter J., et al.
Publicado: (2021) -
Meta-Knowledge and Multi-Task Learning-Based Multi-Scene Adaptive Crowd Counting
por: Tang, Siqi, et al.
Publicado: (2022) -
Exploring density rectification and domain adaption method for crowd counting
por: Peng, Sifan, et al.
Publicado: (2022) -
An Adaptive Multi-Scale Network Based on Depth Information for Crowd Counting †
por: Zhang, Peng, et al.
Publicado: (2023)