TGPR: Transfer Learning Based Visual Tracking with Gaussian Process Regression

This webpage maintains the link to the source code of the following paper:

        Transfer Learning Based Visual Tracking with Gaussian Process Regression
        Jin Gao, Haibin Ling, Weiming Hu, Junliang Xing
        ECCV2014, Part III, LNC 8691, pp. 188-203, 2014

NOTE: by click the following link, you have agreed that:

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. If you do not agree to this license agreement, do NOT download, install, copy or use the software.

Now, you can download:

Matlab source code of TGPR: Matlab code and demo, or

C++ source code of TGPR: C++ code and demo, and results on the CVPR 2013 tracking benchmark..

We appreciate questions and suggestions to jin.gao AT nlpr.ia.ac.cn, or hbling AT temple.edu.