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annotate tracking.cfg @ 398:3399bd48cb40

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Ajout d'une méthode pour obtenir le nombre de FPS Méthode de capture des trames vidéos plus résistante aux erreur Utilisation d'un dictionnaire pour les fichier de configuration afin de garder le nom des sections
author Jean-Philippe Jodoin <jpjodoin@gmail.com>
date Mon, 29 Jul 2013 13:46:07 -0400
parents 72aa44072093
children ca5784652d57
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1 # filename of the video to process
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2 video-filename = laurier.avi
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3 # filename of the database where results are saved
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4 database-filename = laurier.sqlite
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5 # filename of the homography matrix
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6 homography-filename = laurier-homography.txt
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7 # filename of the mask image (where features are detected)
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8 mask-filename = none
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9 # load features from database
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10 load-features = false
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11 # display trajectories on the video
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12 display = false
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13 # original video frame rate (number of frames/s)
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14 video-fps = 29.97
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15 # number of digits of precision for all measurements derived from video
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16 # measurement-precision = 3
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17 # first frame to process
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18 frame1 = 0
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19 # number of frame to process: 0 means processing all frames
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20 nframes = 0
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21 # feature tracking
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22 # maximum number of features added at each frame
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23 max-nfeatures = 1000
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24 # quality level of the good features to track
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25 feature-quality = 0.1
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26 # minimum distance between features
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27 min-feature-distanceklt = 5
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28 # size of the search window at each pyramid level
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29 window-size = 7
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30 # use of Harris corner detector
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31 use-harris-detector = false
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32 # k parameter to detect good features to track (OpenCV)
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33 k = 0.4
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34 # maximal pyramid level in the feature tracking algorithm
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35 pyramid-level = 5
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36 # number of displacement to test minimum feature motion
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37 ndisplacements = 3
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38 # minimum displacement to keep features
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39 min-feature-displacement = 0.05
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40 # maximum feature acceleration
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41 acceleration-bound = 3
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42 # maximum feature deviation
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43 deviation-bound = 0.6
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44 # number of frames to smooth positions (half window)
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45 smoothing-halfwidth = 5
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46 # number of frames to compute velocities
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47 #nframes-velocity = 5
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48 # maximum number of iterations to stop feature tracking
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49 max-number-iterations = 20
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50 # minimum error to reach to stop feature tracking
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51 min-tracking-error = 0.3
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52 # minimum length of a feature (number of frames) to consider a feature for grouping
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53 min-feature-time = 20
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54 # Min Max similarity parameters (Beymer et al. method)
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55 # connection distance in feature grouping
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56 mm-connection-distance = 3.75
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57 # segmentation distance in feature grouping
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58 mm-segmentation-distance = 1.5
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59 # maximum distance between features for grouping
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60 max-distance = 5
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61 # minimum cosine of the angle between the velocity vectors for grouping
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62 min-velocity-cosine = 0.8
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63 # minimum average number of features per frame to create a vehicle hypothesis
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64 min-nfeatures-group = 3
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65 # Safety analysis
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66 # maximum speed when predicting future motion (km/h)
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67 max-predicted-speed = 50
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68 # time horizon for collision prediction (s)
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69 prediction-time-horizon = 5
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70 # collision distance threshold (m)
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71 collision-distance = 1.8
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72 # option to compute crossing zones and predicted PET
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73 crossing-zones = false
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74 # prediction method: cv, na, ps
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75 prediction-method = na
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76 # number of predicted trajectories (use depends on prediction method)
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77 npredicted-trajectories = 10
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78 # minimum acceleration for input distribution (m/s2) (used only for evasive action distributions)
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79 min-acceleration = -9.1
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80 # maximum acceleration for input distribution (m/s2)
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81 max-acceleration = 2
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82 # maximum steering for input distribution (rad/s)
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83 max-steering = 0.5
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84 # use feature positions and velocities for prediction
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85 use-features-prediction = true