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

Read pinned source

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.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
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
Back to top