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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:156/41  |  Submit date:2019/08/04
Online, pedestrian detection  multi-object tracking  re-identifying  Kalman lter  data association  
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:128/19  |  Submit date:2019/06/29
pedestrian flow statistics  neural network  Kalman filter  multi-object tracking  data association  
Siamese Tracking with Adaptive Template-Updating Strategy 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 18, 页码: 1-17
Authors:  Xu Z(徐峥);  Luo HB(罗海波);  Hui B(惠斌);  Chang Z(常铮);  Ju MR(鞠默然)
View  |  Adobe PDF(9359Kb)  |  Favorite  |  View/Download:68/14  |  Submit date:2019/11/13
object tracking  Siamese network  template-updating  deep learning