This paper proposes an effective anti-occlusion target tracking algorithm based on template filtering.First,The location correlation filters are constructed to determine the target center position. In order to determine the target scale, a scale correlation filter is performed to sample multi-scale images surrounding the target region. Then,Peak-to-Sidelobe Ratio and average peak-to-correlation energy (APCE) are used to determine whether the target is occluded. When the target is occluded, the adaptive updating of the model is stopped.When the target is completely lost, the grid-based motion statistics algorithm is used to re-determine the position of the target.Experimental results demonstrate that our method can achieve a better tracking result than other methods.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.