文件列表:

linux下的粒子滤波 (0, 2011-10-09)
linux下的粒子滤波\track (0, 2011-10-09)
linux下的粒子滤波\track\bin (0, 2011-10-09)
linux下的粒子滤波\track\bin\Makefile (797, 2006-03-19)
linux下的粒子滤波\track\docs (0, 2006-03-23)
linux下的粒子滤波\track\Doxyfile (45621, 2006-03-23)
linux下的粒子滤波\track\frames (0, 2006-03-23)
linux下的粒子滤波\track\hist.plt (204, 2006-03-20)
linux下的粒子滤波\track\include (0, 2011-10-09)
linux下的粒子滤波\track\include\defs.h (931, 2006-03-11)
linux下的粒子滤波\track\include\observation.h (4618, 2006-03-20)
linux下的粒子滤波\track\include\particles.h (3870, 2006-03-19)
linux下的粒子滤波\track\include\utils.h (3886, 2006-03-08)
linux下的粒子滤波\track\LICENSE (1348, 2011-04-29)
linux下的粒子滤波\track\mainpage (132, 2006-03-23)
linux下的粒子滤波\track\Makefile (384, 2006-03-23)
linux下的粒子滤波\track\src (0, 2011-10-09)
linux下的粒子滤波\track\src\Makefile (477, 2006-03-14)
linux下的粒子滤波\track\src\observation.c (6971, 2006-03-20)
linux下的粒子滤波\track\src\observe.c (4133, 2006-03-23)
linux下的粒子滤波\track\src\particles.c (5480, 2006-03-20)
linux下的粒子滤波\track\src\track1.c (12310, 2006-03-23)
linux下的粒子滤波\track\src\utils.c (5698, 2006-03-14)
linux下的粒子滤波\track\video (0, 2011-10-09)
linux下的粒子滤波\track\video\hockey.avi (5550554, 2006-03-19)
linux下的粒子滤波\track\video\soccer.avi (4353388, 2006-03-19)

Contents: 1. Intro 2. Compiling 3. Running a. track1 b. observe 4. Histograms /***********************************************************************/ 1. Intro This distribution contains source code for a simple object tracking program using particle filtering. You need to have the OpenCV Library and the GNU Scientific Library (GSL) installed to compile and use the programs. See the below two links: http://sourceforge.net/projects/opencvlibrary/ http://www.gnu.org/software/gsl/ /***********************************************************************/ 2. Compiling Some of the source files can be documented with Doxygen: > make docs To comile the executable programs: > make bin To compile everything (executables, documentation, etc.): > make To clean up: > make clean To get rid of executables, too: > make distclean /***********************************************************************/ 3. Running 3.a. track1: Tracks a single object in a sequence of video. Supply track1 with a video file on the command line: > ./bin/track1 video.mpg You will be presented with the first frame of the video, in which you are required to select an object to track. Do this by defining a rectangular region with the mouse by clicking and dragging. After you select the object to be tracked, you will see the results of tracking. This usually runs in about real-time, unless the region you've selected is too big. You can get additional help for command line options and arguments by passing the '-h' option: > ./bin/track1 -h 3.b. observe: Displays the likelihood of an object at each pixel location in an image. Supply observe with an image in which to observe and a set of images from which to compute a reference histogram upon which observation is based: > ./bin/observe [ ...] You will be shown an image representing the likelihood of the object defined by the reference images at every pixel location in the image being observed. You can get additional help for command line options and arguments by passing the '-h' option: > ./bin/observe -h /***********************************************************************/ 4. Histograms You can choose to export the frames of video tracked by track1 using the '-o' flag. If you choose to do so, the values of the reference histogram are also output to the file hist_00.dat. The included file hist.plt is a gnuplot script which can be used to visualize the reference histogram. Use it as follows: > gnuplot hist.plt It will create an encapsulated postscript histogram image in hist.eps.

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