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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

  1. Upload a reference photo — InsightFace ArcFace generates a 512-d embedding for the target face.
  2. Connect camera sources — add multiple RTSP streams, webcam indexes, or recorded video files.
  3. 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.
  4. View results — each camera panel highlights match frames with a confidence score and timestamp.

Configuration

ParameterDescriptionDefault
Similarity ThresholdMinimum cosine similarity to count as a match0.5
Sampling RateFrames per second analysed per feedAdaptive
Max FeedsNumber of concurrent camera sourcesLimited by hardware

Best Practices

  • Use a clear, front-facing reference photo with good lighting.
  • Keep the similarity threshold above 0.45 to 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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