Cross-Camera Tracker
Track a target individual across multiple simultaneous camera feeds using biometric identity matching
Cross-Camera Tracker lets operators monitor a single target individual across multiple live or recorded camera feeds simultaneously. By providing one reference photo, the system continuously matches the target's biometric identity across every connected source — even when they move between camera zones.
Use Cases
- Multi-entrance monitoring — track a VIP or flagged individual as they move through a building.
- Multi-branch coverage — watch several remote locations at once from a single control screen.
- Event security — confirm the presence of a specific person across an event venue in real time.
How It Works
- Upload a reference photo — InsightFace ArcFace generates a 512-d embedding for the target face.
- Connect camera sources — add multiple RTSP streams, webcam indexes, or recorded video files.
- Start tracking — each feed is processed in parallel; whenever the target's face is detected with similarity above the configured threshold, a match event is raised.
- View results — each camera panel highlights match frames with a confidence score and timestamp.
Configuration
| Parameter | Description | Default |
|---|---|---|
| Similarity Threshold | Minimum cosine similarity to count as a match | 0.5 |
| Sampling Rate | Frames per second analysed per feed | Adaptive |
| Max Feeds | Number of concurrent camera sources | Limited by hardware |
Best Practices
- Use a clear, front-facing reference photo with good lighting.
- Keep the similarity threshold above
0.45to reduce false positives across multiple feeds. - On CPU-only systems, limit concurrent feeds to 2–3 to maintain acceptable latency.
- RTSP streams benefit from the built-in auto-reconnect — the tracker resumes automatically if a stream drops.
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