Enrique Sánchez-Lozano, PhD

Research Associate. Computer Vision Lab. University of Nottingham.


04/09/2017 One paper accepted at TPAMI


03/05/2017 I have successfully defended my thesis on Continuous Regression.


01/11/2016 Continuous Regression site launched: Continuous Regression site

iCCR code

NOTE: To use the Matlab Test on Recorded Videos , you have to load into the workspace the model.mat and the example_params.mat, then call
> load model.mat
> load example_params.mat
> video = [];
> data = track( model, video, params )
- params is included in the example_params.mat, and video is the path to the video to test. If video = [], then the tracker will get the input stream from the webcam. Data will contain all the tracked points. Should you find any problem running the code, please do not hesitate in contact me at: psxes1[removethis]_at_ .nottingham.ac.uk Updated: Linux bug has been found and fixed.

iCCR Results on 300VW

HERE you can directly download the tracked points for the 300VW Dataset, for each of the categories.

You will find a data_catX_iCCR_CCR.mat file, where X will be A, B and C, corresponding to categories 1,2 and 3, respectively. Each is a struct containing the following fields:

- data_iccrX{i}.tracked_pts : a 66 x 2 x NumberOfFrames
- data_iccrX{i}.video : the corresponding video id
- data_iccrX{i}.nc : the indices of the frames that were removed from evaluation, according to the 300VW organisers
- data_iccrX{i}.nframes : the total number of frames of the corresponding video