文件列表:

fragtrack_console_app\emd.cpp (19841, 2005-10-09)
fragtrack_console_app\emd.h (1510, 2006-08-02)
fragtrack_console_app\Fragments_Tracker.cpp (26790, 2008-01-21)
fragtrack_console_app\Fragments_Tracker.h (4902, 2008-01-21)
fragtrack_console_app\fragtrack_console_app.sln (1687, 2007-03-18)
fragtrack_console_app\fragtrack_console_app.suo (15872, 2008-01-21)
fragtrack_console_app\fragtrack_console_app.vcproj (3857, 2007-03-18)
fragtrack_console_app\fragtrack_envelope.cpp (5424, 2008-01-21)
fragtrack_console_app\FragTrack_log.txt (383, 2008-01-21)
fragtrack_console_app\setup.txt (66, 2008-01-21)
fragtrack_console_app\setup_face_sequence.txt (66, 2008-01-21)
fragtrack_console_app\setup_woman_sequence.txt (69, 2008-01-21)
fragtrack_console_app (0, 2008-01-21)

FragTrack - Fragments-based Tracking Code ----------------------------------------- By: Amit Adam amita@cs.technion.ac.il www.cs.technion.ac.il/~amita Date: November 18th, 2007 ----------------------------------------- General ------- This distribution contains the source code for a fragments-based tracker. It is written in C++ and uses the OpenCV library. What's in the package --------------------- 1. Fragments_Tracker.h,cpp - the tracker object code 2. fragtrack_envelope.cpp - an envelope for running the tracker on an image sequence 3. emd.h,cpp - code for comparing two histograms using Earth Mover's Distance - courtesy of Yossi Rubner 4. A Visual Studio solution for building the project. 5. Sample setup files for two image sequence. The sequences may be found in my homepage. 6. Sample log file. Usage ----- 1. Build the executable - a console application (tested only in "release configuration") 2. Prepare a setup file called "setup.txt" and place it in the same directory as the executable file. 3. Run the executable. 4. The following output should be obtained: - during the run - an OpenCV window with the tracking results - a log file called "FragTrack_log.txt" containing the tracking results - two images "initial_temlate.jpg" and "initial_target.jpg" showing the initial template Format of setup file -------------------- The setup file is a text file containing 7 lines in the following format: F:\\amita\\data\\face_sequence\\ % line 1 - path and file name prefix 1 % line 2 - first image in sequence 890 % line 3 - last image in sequence 75 120 220 235 % line 4 - target position in first image 7 % line 5 - search window half size 16 % line 6 - number of bins in histogram 3 % line 7 - choice of metric for comparing histograms (do not include the comments in the setup file) Here are some details: The first 3 lines specify where to find the input sequence - in the above example the sequence is F:\amita\data\face_sequence\ 1.jpg, F:\amita\data\face_sequence\2.jpg, ..., F:\amita\data\face_sequence\890.jpg Note: no spaces are allowed in path or file name Line number 4 gives the top-left and bottom-right corners of the target position in the first frame. The y-coordinate (row) is given first: tl_y tl_x br_y br_x Line number 5 specifies the search radius around the position in previous frame (in pixels). The algorithm is based on gray-scale intensity histograms. Line number 6 specifies the number of bins in the histograms. For comparing two histograms the algorithm currently uses one of three options. Line 7 specifies which option: 1 means chi-square metric, 2 means EMD metric, 3 means a variation of the Kolmogorov-Smirnov statistic. The EMD is a cross-bin metric in contrast with standard bin-to-bin metrics such as Chi square. For one dimensional data option 3 is a much faster equivalent to the EMD metric. Option 3 should be your default choice. You can see the advantage option 3 has over option 1 on the "woman" sequence for example. Example setup files and sequences --------------------------------- Two example setup files are contained in the distribution. The corresponding sequences are available from www.cs.technion.ac.il/~amita together with a file containing the ground truth for these sequences. Feedback -------- Feedback (both positive and negative) is most welcome. Please email to amita@cs.technion.ac.il Acknowledgement --------------- Thanks to Yossi Rubner for his EMD code and for permission to redistribute it with this package. Reference --------- Amit Adam, Ehud Rivlin, Ilan Shimshoni: Robust Fragments-based Tracking using the Integral Histogram. Proc. CVPR 2006, pp. 7***-805

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：