Online Multiple Object Tracking Using Rule Distillated Siamese Random Forest

Online Multiple Object Tracking Using Rule Distillated Siamese Random Forest

In a multiple object tracking (MOT) system, an association check between the tracker and detected objects is an important factor in determining the tracking performance. Siamese convolution neural network (CNN) is the most popular data association method in MOT owing to its good matching performance...

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Bibliographic Details
Main Authors: Jimi Lee, Sangwon Kim, Byoung Chul Ko
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multiple object tracking
data association
Siamese CNN
SiameseRF
rule distillation
Online Access:https://ieeexplore.ieee.org/document/9214525/

Internet

https://ieeexplore.ieee.org/document/9214525/

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