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Pedestrian Flow Tracking and Statistics of Monocular Camera Based on Convolutional Neural Network and Kalman Filter 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 8, 页码: 1-13
Authors:  He M(何淼);  Luo HB(罗海波);  Hui B(惠斌);  Chang Z(常铮)
View  |  Adobe PDF(27079Kb)  |  Favorite  |  View/Download:53/4  |  Submit date:2019/06/29
pedestrian flow statistics  neural network  Kalman filter  multi-object tracking  data association  
Fast Online Multi-Pedestrian Tracking via Integrating Motion Model and Deep Appearance Model 期刊论文
IEEE Access, 2019, 卷号: 7, 页码: 89475-89486
Authors:  He M(何淼);  Luo HB(罗海波);  Hui B(惠斌);  Chang Z(常铮)
View  |  Adobe PDF(19186Kb)  |  Favorite  |  View/Download:57/9  |  Submit date:2019/08/04
Online, pedestrian detection  multi-object tracking  re-identifying  Kalman lter  data association