Real-time Compressive Tracking: Supplementary materials Kaihua Zhang 1 , Lei Zhang 1 , and Ming-Hsuan Yang 2 1 Depart. of Computing, The Hong Kong Polytechnic University, Hong Kong 2 Electrical Engineering and Computer Science, University of California at Merced, United States {cskhzhang,cslzhang}@comp.polyu.edu.hk, [email protected]We present screenshots of all 20 video sequences that we evaluate, in high resolution images. Some frames are dropped in the video of this supplementary material in order to fit 30 MB file size limit. Without comprising anonymity, the full-length high-quality video can be found at http://www.youtube.com/user/compressivetracking/videos. #150 #168 #400 (a) David indoor #60 #242 #350 (b) Shaking #470 #720 #780 (c) Occluded face 2 #70 #120 #300 (d) Soccer Frag OAB SemiB MILTrack TLD Struck L1-track CT Fig. 1. Tracking results of evaluated algorithms.
1Depart. of Computing, The Hong Kong Polytechnic University, Hong Kong2Electrical Engineering and Computer Science, University of California at Merced, United
We present screenshots of all 20 video sequences that we evaluate, in high resolution images.Some frames are dropped in the video of this supplementary material in order to fit 30 MB filesize limit. Without comprising anonymity, the full-length high-quality video can be found athttp://www.youtube.com/user/compressivetracking/videos.
