Ideas for Feature-basedTracking Improvements
De Transport
- 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)
