SAM3 Image/Video Segmentation
Track and segment objects across video frames with SAM3
Build a video segmentation system that tracks and segments objects across frames using SAM3. An agent manages the tracking pipeline — handling occlusions, re-identification, and temporal consistency to produce smooth, frame-accurate segmentation masks throughout the video.
Stack
Implementation
- 1
Set up video processing
Build a pipeline that extracts frames, manages keyframe selection, and handles video encoding/decoding. Support common video formats.
- 2
Initialize object tracking
The agent segments objects in the first frame, then propagates segmentation masks across subsequent frames using SAM3's video tracking capabilities.
- 3
Handle tracking challenges
Implement re-identification for objects that leave and re-enter the frame. Handle occlusions, scale changes, and deformation across frames.
- 4
Ensure temporal consistency
Smooth segmentation masks across frames to prevent flickering. Interpolate masks for frames where tracking confidence is low.
- 5
Export and integrate
Export segmentation data as frame-by-frame masks, video mattes, or composited output. Integrate with video editing pipelines.
What You Get
- Frame-accurate object segmentation across entire videos
- Robust tracking through occlusions and deformations
- Temporally consistent masks without flickering
- Production-ready for video editing and effects pipelines
Related Blueprints
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