A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Visual tracking based on transfer learning of deep salience information
2020
Opto-Electronic Advances
In this paper, we propose a new visual tracking method in light of salience information and deep learning. Salience detection is used to exploit features with salient information of the image. Complicated representations of image features can be gained by the function of every layer in convolution neural network (CNN). The characteristic of biology vision in attention-based salience is similar to the neuroscience features of convolution neural network. This motivates us to improve the
doi:10.29026/oea.2020.190018
doaj:e230fac26e2948d28ca973523f087436
fatcat:skxrt4q2yrdeheanqjpwfyjnau