Meta-Knowledge and Multi-Task Learning-Based Multi-Scene Adaptive Crowd Counting
In this paper, we propose a multi-scene adaptive crowd counting method based on metaknowledge and multi-task learning. In practice, surveillance cameras are stationarily deployed in various scenes. Considering the extensibility of a surveillance system, the ideal crowd counting method should have a...
Main Authors: | Hu, G. (Author), Li, Y. (Author), Pan, Z. (Author), Tang, S. (Author), Wu, Y. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
Deep Learning-Based Crowd Scene Analysis Survey
by: Sherif Elbishlawi, et al.
Published: (2020-09-01) -
Crowd Counting Using End-to-End Semantic Image Segmentation
by: Khalil Khan, et al.
Published: (2021-05-01) -
Congested Crowd Counting via Adaptive Multi-Scale Context Learning
by: Yani Zhang, et al.
Published: (2021-05-01) -
Smart Camera Aware Crowd Counting via Multiple Task Fractional Stride Deep Learning
by: Minglei Tong, et al.
Published: (2019-03-01) -
Counting Crowds with Perspective Distortion Correction via Adaptive Learning
by: Yixuan Sun, et al.
Published: (2020-07-01)