# Build a Multi-Camera 3D Tracking Application with NVIDIA DeepStream 9.1 Skills

DevFeed: [Build a Multi-Camera 3D Tracking Application with NVIDIA DeepStream 9.1 Skills](<https://devfeed.tech/articles/build-a-multi-camera-3d-tracking-application-with-nvidia-deepstream-9-1-skills-6766.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/build-a-multi-camera-3d-tracking-application-with-nvidia-deepstream-9-1-skills/>)

Author: Elizabeth Goodman

Published: 2026-07-15T23:00:00Z

Content type: tutorial

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [multi-camera tracking](<https://devfeed.tech/topics/multi-camera-tracking.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Jetson](<https://devfeed.tech/topics/jetson.md>), [GitHub](<https://devfeed.tech/topics/github.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [real-time](<https://devfeed.tech/topics/real-time.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-ai-generative-ai](<https://devfeed.tech/tags/agentic-ai-generative-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-development](<https://devfeed.tech/tags/ai-development.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [applications](<https://devfeed.tech/tags/applications.md>), [automation](<https://devfeed.tech/tags/automation.md>), [computer-vision-video-analytics](<https://devfeed.tech/tags/computer-vision-video-analytics.md>), [deepstream](<https://devfeed.tech/tags/deepstream.md>), [developers](<https://devfeed.tech/tags/developers.md>), [development](<https://devfeed.tech/tags/development.md>), [edge](<https://devfeed.tech/tags/edge.md>), [featured](<https://devfeed.tech/tags/featured.md>), [github](<https://devfeed.tech/tags/github.md>), [jetpack](<https://devfeed.tech/tags/jetpack.md>), [jetson](<https://devfeed.tech/tags/jetson.md>), [metropolis](<https://devfeed.tech/tags/metropolis.md>), [multi-camera-tracking](<https://devfeed.tech/tags/multi-camera-tracking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [research](<https://devfeed.tech/tags/research.md>), [spaces](<https://devfeed.tech/tags/spaces.md>), [video](<https://devfeed.tech/tags/video.md>), [video-analytics](<https://devfeed.tech/tags/video-analytics.md>)

## AI overview

This article introduces NVIDIA DeepStream 9.1 capabilities for building multi-camera 3D tracking applications. It explains how AutoMagicCalib and Multi-View 3D Tracking combine detections from auto-calibrated cameras in a shared 3D coordinate system, maintaining consistent object IDs across views. It also highlights agentic skills, JetPack support for Jetson edge platforms, and open-source reference implementations.

## Source excerpt

Developers building video analytics applications across large spaces must track the same object as it moves between camera views. Single-camera 2D tracking...