A scale-adaptive object-tracking algorithm with occlusion detection

A scale-adaptive object-tracking algorithm with occlusion detection

Abstract The methods combining correlation filters (CFs) with the features of convolutional neural network (CNN) are good at object tracking. However, the high-level features of a typical CNN without residual structure suffer from the shortage of fine-grained information, it is easily affected by si...

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Bibliographic Details
Main Authors: Yue Yuan, Jun Chu, Lu Leng, Jun Miao, Byung-Gyu Kim
Format: Article
Language:English
Published: SpringerOpen 2020-02-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Scale adaption
Object tracking
Resnet
Correlation filters
Occlusion detection
Online Access:http://link.springer.com/article/10.1186/s13640-020-0496-6

Internet

http://link.springer.com/article/10.1186/s13640-020-0496-6

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