Ideas for Feature-basedTracking Improvements : Différence entre versions
De Transport
(Une révision intermédiaire par le même utilisateur non affichée) | |||
Ligne 1 : | Ligne 1 : | ||
+ | * feature tracking | ||
+ | ** keep looking for optical flow matches for lost features (then interpolate linearly if found again) | ||
+ | ** keep stationary features who have moved enough in the past (remove stationary part if they do not move again) | ||
+ | ** detect keypoints continuously over the whole image to check that a feature trajectory would have some level of continuous detection | ||
+ | ** run shadow detection and remove features mostly detected as shadow over time | ||
+ | * avoid over grouping | ||
+ | stats on motion model: acceleration, speed for normal and overgrouped | ||
* Classify features (based on speed, image patch, image foreground) and connect accordingly | * Classify features (based on speed, image patch, image foreground) and connect accordingly | ||
compute gait/kinematic parameters and connect accordingly | compute gait/kinematic parameters and connect accordingly |
Version actuelle en date du 6 juin 2014 à 12:19
- feature tracking
- keep looking for optical flow matches for lost features (then interpolate linearly if found again)
- keep stationary features who have moved enough in the past (remove stationary part if they do not move again)
- detect keypoints continuously over the whole image to check that a feature trajectory would have some level of continuous detection
- run shadow detection and remove features mostly detected as shadow over time
- avoid over grouping
stats on motion model: acceleration, speed for normal and overgrouped
- Classify features (based on speed, image patch, image foreground) and connect accordingly
compute gait/kinematic parameters and connect accordingly
- Add and modulate the similarity constraints
constant distance over time similar velocity angle robust: percentage of time that the condition must be met
- Extend the graph with weights instead of 0/1 (edge or not)