基于MATLAB的行人检测代码

################################################################### # # # Caltech Pedestrian Dataset Code # # www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/ # # Piotr Dollar (pdollar-at-gmail.com) # # # ################################################################### 1. Introduction. If using the Caltech Pedestrian Dataset, please cite the following works in any resulting publication: @article{Dollar2012PAMI, author = {Piotr Doll\'ar and Christian Wojek and Bernt Schiele and Pietro Perona}, title = {Pedestrian Detection: An Evaluation of the State of the Art}, journal = {PAMI}, volume = {34}, year = {2012}, } @inproceedings{CVPR09peds, author = "P. Doll\'ar and C. Wojek and B. Schiele and P. Perona", title = "Pedestrian Detection: A Benchmark", booktitle = "CVPR", year = "2009", } ################################################################### 2. License. This code is published under the Simplified BSD License. Please read bsd.txt for more info. ################################################################### 3. Installation. This code is written for the Matlab interpreter (tested with versions 2011b-2013a) and requires the Matlab Image Processing Toolbox. Additionally, Piotr's Matlab Toolbox (version 3.20 or later) is also required. It can be downloaded at: http://vision.ucsd.edu/~pdollar/toolbox/doc/index.html Note that any pedestrian data must be downloaded separately from the code. All the provided routines expect the data, annotations and res files to be in a fixed location. By default, the seq files should be in $code/$name/videos/ and the annotations in $code/$name/annotations/, where $code is the directory containing the code and $name is the name of the database (e.g. data-USA, data-INRIA, etc.). For example, the first video in the first set might be $code/$name/videos/set00/V000.seq and the corresponding annotation $code/$name/annotations/set00/V000.vbb. To set the currently active database or to change the default data location, see dbInfo.m. Generated results for the purpose of evaluation should be placed in $code/$name/res/$alg where $alg is an algorithm specific directory. See the provided result files for examples. ################################################################### 4. Getting Started. Place downloaded data and annotations in appropriate subdirectories, e.g., data-USA/videos and data-USA/annotations (see above). Call dbInfo.m to point to the appropriate data location. Then run "vbbPlayer" from the Matlab prompt to display a random seq file with an overlaid annotation (note that you cannot use the file menu in the GUI to load a new video). For more information about retrieving/manipluating annotations, see vbb.m. For more information about dealing with seq files, see seqIo.m (part of Piotr's Matlab Toolbox). To generate the ROC plots for the appropriate database, see dbEval.m. You can generate the INRIA full image curves by running dbEval.m but setting dataName appropriately (assuming you first download the data/annotations/res and set dbInfo.m appropriately). ################################################################### 5. Contents. Code: dbBrowser - Browse database annotations and detection results. dbEval - Evaluate and plot all pedestrian detection results. dbExtract - Extract database to directory of images and ground truth text files. dbInfo - Specifies data amount and location. vbb - Data structure for video bounding box (vbb) annotations. vbbLabeler - Video bound box (vbb) Labeler. vbbPlayer - Simple GUI to play annotated videos (seq files) Other: bsd.txt - Simplified BSD License. readme.txt - This file. vbbIcons.mat - Icons used in vbbLabeler. ################################################################### 6. History / ToDo. Version 3.2.1 (10/29/2014) - added additional algorithms to evaluation - dbExtract.m: added extra optional parameter - updated headers and standardized line endings Version 3.2.0 (07/30/2013) - dbExtract.m: added for convenience - dbEval.m: refactored code and tweaked plots - dbInfo.m, vbb.m, vbbPlayer.m: minor Version 3.1.0 (07/05/2013) - dbEval.m: major cleanup, simplification and commenting - updated detection format to have one results txt file per video - updated plot colors and style - dbBrowser.m: minor (made compatible w new detection format) Version 3.0.1 (08/04/2012) - added additional algorithms to evaluation Version 3.0.0 (09/04/2011) - major update of experiments to correspond to PAMI 2012 paper - dbEval.m: major overhaul (see PAMI paper for new experiment setup) - dbInfo.m: refactored to make more powerful and easier to use - dbBrowser.m: minor changes (using new dbInfo.m) Version 2.2.0 (08/01/2010) - vbbLabeler: minor fixes - added algorithms/databases to evaluation code - various tweaks/improvements of code Version 2.1.0 (04/18/2010) - vbbLabeler: major overhaul - associate unique color with each algorithm - added code for evaluating ETH and TUD-Brussels datasets Version 2.0.0 (03/15/2010) - uses bbGt('evalRes') in place of evalFrame.m - vbb.m: ability to export/import from single frame annotations (.txt files) - bbDetect.m: fixed bugs in plotBbSheet - vbbLabeler.m: label bw videos - dbEval.m: new evalution criterion (see website) - minor tweaks throughout Version 1.0.0 (05/15/2009) - initial version ################################################################### PAMI2012综述文章中，(pedestrian detection an evaluation of the state of the art 作者：Piotr Dollar),排名第2的算法： 加州理工学院2009年行人检测的文章：Integral Channel Features（积分通道特征）,作者：Piotr Dollar,代码http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/