FeatureBasedTracking - Historique des versions

NicolasSaunier le 20 juillet 2011 à 04:50

2011-07-20T04:50:53Z

NicolasSaunier le 28 juin 2011 à 21:12

2011-06-28T21:12:47Z

NicolasSaunier : /* Resources */

2011-06-24T23:05:49Z

‎Resources

NicolasSaunier le 10 juin 2011 à 03:46

2011-06-10T03:46:49Z

NicolasSaunier le 10 juin 2011 à 03:46

2011-06-10T03:46:34Z

NicolasSaunier le 10 juin 2011 à 03:37

2011-06-10T03:37:22Z

NicolasSaunier le 9 juin 2011 à 23:03

2011-06-09T23:03:46Z

NicolasSaunier le 9 juin 2011 à 20:52

2011-06-09T20:52:14Z

NicolasSaunier : Page créée avec « The goal of this page is to record the objectives of the development of a vision-based road user tracking tool at Ecole Polytechnique and Carleton University. * Objectives … »

2011-05-19T22:36:31Z

Page créée avec « The goal of this page is to record the objectives of the development of a vision-based road user tracking tool at Ecole Polytechnique and Carleton University. * Objectives … »

Nouvelle page

The goal of this page is to record the objectives of the development of a vision-based road user tracking tool at Ecole Polytechnique and Carleton University.

* Objectives
** Feature-based tracking, using any "standard" feature tracker, eg KLT
** Generic features
** Semi-automated tracking
** Other vehicle/road user tracking methods, eg using background subtraction, tracking by detection (HoG detection)...
* Resources
** http://code.google.com/p/opencv-feature-tracker/
** https://bitbucket.org/Nicolas/trafficintelligence
** https://bitbucket.org/trajectories/trajectorymanagementandanalysis

@@ Ligne 1 : / Ligne 1 : @@
-The goal of this page is to record the objectives of the development of a vision-based road user tracking tool at Ecole Polytechnique and Carleton University.
+The goal of this page is to record the objectives of the development of a vision-based road user tracking tool at Ecole Polytechnique, McGill University and Carleton University.
 ==General Objectives==
@@ Ligne 37 : / Ligne 37 : @@
 ==Resources==
 * Open source computer vision projects
-** http://code.google.com/p/opencv-feature-tracker/
+** OpenCV http://opencv.willowgarage.com/wiki/
 ** https://bitbucket.org/Nicolas/trafficintelligence
 ** https://bitbucket.org/trajectories/trajectorymanagementandanalysis
 * C++
 ** http://en.cppreference.com/w/cpp
 ** http://www.parashift.com/c++-faq-lite/

@@ Ligne 15 : / Ligne 15 : @@
 * feature-based tracking using the KLT implementation of OpenCV, that can be easily extended to use other types of features (eg the fast features used in the opencv sample video_homography)
 ** it should include at least the following constraints on motion regularity to avoid errors and improve results
 *** features have a minimum length, minimum displacement over the last n frames, the angle between two successive displacement vectors and the ratio of their norm may not be too large (if not, the feature track is disrupted: if the feature is too short, it is discarded)
@@ Ligne 20 : / Ligne 21 : @@
 * clean and modular design that can be easily extended: speed should be reasonable
 ** in particular, the steps of feature tracking and grouping can be performed separately or together
-* use of a homography to transform coordinates from image to world space
+* use of a homography to transform coordinates from image to world space, accomodate if unavailable (test if it exists or use a configuration parameter)
 * simple memory management using smart pointers and as much as possible const references for function arguments
 ** using for example the Boost library http://www.boost.org/doc/libs/1_46_1/libs/smart_ptr/smart_ptr.htm
 * clean interface using the command line and a configuration file
 * saving all trajectory information for features and moving objects using the project https://bitbucket.org/trajectories/trajectorymanagementandanalysis (if possible, re-use data structure from the same project to avoid time-consuming type conversions)

@@ Ligne 21 : / Ligne 21 : @@
 ** in particular, the steps of feature tracking and grouping can be performed separately or together
 * use of a homography to transform coordinates from image to world space
-* simple memory management using smart pointers and as much as possible const references for arguments of functions
+* simple memory management using smart pointers and as much as possible const references for function arguments
 ** using for example the Boost library http://www.boost.org/doc/libs/1_46_1/libs/smart_ptr/smart_ptr.htm
 * clean interface using the command line and a configuration file

@@ Ligne 12 : / Ligne 12 : @@
 ==Summer 2011 project by Ananda Narayanan==
-Expected list of features for the program:
+Expected list of features for the program (following http://n.saunier.free.fr/saunier/stock/saunier06feature-based.pdf)
 * feature-based tracking using the KLT implementation of OpenCV, that can be easily extended to use other types of features (eg the fast features used in the opencv sample video_homography)
@@ Ligne 21 : / Ligne 21 : @@
 ** in particular, the steps of feature tracking and grouping can be performed separately or together
 * use of a homography to transform coordinates from image to world space
 * clean interface using the command line and a configuration file
 * saving all trajectory information for features and moving objects using the project https://bitbucket.org/trajectories/trajectorymanagementandanalysis (if possible, re-use data structure from the same project to avoid time-consuming type conversions)

@@ Ligne 1 : / Ligne 1 : @@
 The goal of this page is to record the objectives of the development of a vision-based road user tracking tool at Ecole Polytechnique and Carleton University.
-* Objectives
+==General Objectives==
 # Feature-based tracking, using any "standard" feature tracker, eg KLT
 #* look at fast features and the opencv sample video_homography
@@ Ligne 9 : / Ligne 9 : @@
 # Semi-automated tracking
 # Other vehicle/road user tracking methods, eg using background subtraction, tracking by detection (HoG detection)...
 * Resources
 ** http://code.google.com/p/opencv-feature-tracker/
 ** https://bitbucket.org/Nicolas/trafficintelligence
 ** https://bitbucket.org/trajectories/trajectorymanagementandanalysis