10 / Computer vision / Motion control
Autonomous Vision Tracking Platform
A camera-only pan-and-tilt concept for following selected objects in controlled scenes.
01 / Context
The problem
A moving camera needs to translate noisy image observations into smooth bounded motion and behave predictably when tracking confidence falls.
02 / Engineering
The approach
Evaluate tracking methods on controlled footage, couple a selected method to a limited-motion camera mount, and test latency, stability and loss-of-track behavior.
A proposed vision system that would estimate an object position in camera frames and command a pan-and-tilt camera mount to keep it in view. Work would focus on tracking stability, latency, motion limits and recovery after the object leaves the scene. The application focuses on camera observation and visual feedback.
03 / Toolkit
Technologies
- OpenCV
- Python
- Object tracking
- Pan-and-tilt camera mount
- Feedback control
04 / Purpose
Intended contribution
Explore practical links between computer vision and feedback control for demonstrations, filming and observation experiments.
Development record
What has been established
No integrated build, object-recognition accuracy, tracking latency or autonomous performance has been verified. The intended application is camera observation only.
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