- Matlab code for the paper
Incremental learning of 3D-DCT compact representations for robust visual tracking.
X. Li, A. Dick, C. Shen, A. van den Hengel, H. Wang.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013.
Note that this code is not optimised for speed. Currently on an iMac 2011 (i5), it's about 1~2 frames per second.
To run the demo, just run
`DCTTracker_MainFunc`
in the root directory.
If you find the code helpful for your research, please cite our paper:
@article{TPAMI2013Xi,
author = {Xi Li and Anthony Dick and Chunhua Shen and Anton {van den Hengel} and Hanzi Wang},
title = {Incremental Learning of {3D-DCT} Compact Representations for Robust Visual Tracking},
journal= {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {35},
number = {4},
year = {2013},
month = {April},
pages = {863--881},
url = {http://dx.doi.org/10.1109/TPAMI.2012.166},
}
If you have questions or comments, please contact
- Xi Li (e-mail: lixichinanlpr@gmail.com)
- Chunhua Shen (e-mail: chhshen@gmail.com)
(c) authors, 2013.