Individual skill
egomotion-estimation
Estimate camera motion with optical flow + affine/homography, allow multi-label per frame.
tasks/dynamic-object-aware-egomotion/environment/skills/egomotion-estimation/SKILL.md
Source commit f860ecf02ef53412a030f8661c83d644b739ff01
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,910
- Repository last updated
- Nov 4, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- benchmark Repository topic
- skillsbench Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# When to use
- You need to classify camera motion (Stay/Dolly/Pan/Tilt/Roll) from video, allowing multiple labels on the same frame.
# Workflow
1) **Feature tracking**: `goodFeaturesToTrack` + `calcOpticalFlowPyrLK`; drop if too few points.
2) **Robust transform**: `estimateAffinePartial2D` (or homography) with RANSAC to get tx, ty, rotation, scale.
3) **Thresholding (example values)**
- Translate threshold `th_trans` (px/frame), rotation (rad), scale delta (ratio).
- Allow multiple labels: if scale and translate are both significant, emit Dolly + Pan; rotation independent for Roll.
4) **Temporal smoothing**: windowed mode/median to reduce flicker.
5) **Interval compression**: merge consecutive frames with identical label sets into `start->end`.
# Decision sketch
```python