Pedestrian Flow Tracking and Statistics of Monocular Camera Based on Convolutional Neural Network and Kalman Filter

Pedestrian Flow Tracking and Statistics of Monocular Camera Based on Convolutional Neural Network and Kalman Filter

Pedestrian flow statistics and analysis in public places is an important means to ensure urban safety. However, in recent years, a video-based pedestrian flow statistics algorithm mainly relies on binocular vision or a vertical downward camera, which has serious limitations on the application scene...

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Bibliographic Details
Main Authors: Miao He, Haibo Luo, Bin Hui, Zheng Chang
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Applied Sciences
Subjects:
pedestrian flow statistics
neural network
Kalman filter
multi-object tracking
data association
Online Access:https://www.mdpi.com/2076-3417/9/8/1624

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