A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Railway Foreign Object Tracking Based on Correlation Filtering of Optimized Regularization Model
2021
Journal of Applied Science and Engineering
Aiming at problems such as the untrustworthy association between spatial regularization weight and intrusive foreign object in complex railway scenes, as well as the degradation of correlation filter model, fully excavate the expressive ability of deep space features, and a foreign object tracking algorithm based on correlation filtering with depth space and time perception regularization is put forward. Firstly, select the fifth-level convolution feature of the Visual Geometry Group (VGG)
doi:10.6180/jase.202204_25(2).0015
doaj:cc829408d0a14d58aff3eaf7b38fad5d
fatcat:pzv3odoibnh4fap7xdlvlvaq34