Online Collaboration-based Visual Tracking for UAV with Spatial-to-Semantic Information and Multi-Recommender Voting
Matlab implementation of Online Collaboration-based Visual Tracking for UAV with Spatial-to-Semantic Information and Multi-Recommender Voting (SIMV) tracker.
- Download VGG-Net-19 by cliking here and put it in
/model
. - Download matconvnet toolbox here and put it directly in root (which means there should be a
/matconvnet
folder in SIMV folder.
-
runTracker.m - set the directory for UAV123 images sequences
- choose UAV123 image sequences for the SIMV tracker.
This work borrowed the framework from the MCCT tracker (https://github.com/594422814/MCCT) and the parameter settings from DSST (http://www.cvl.isy.liu.se/en/research/objrec/visualtracking/scalvistrack/index.html).