MV3DT vs MTMC

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU)
1GPU, 3090 RTX 24G
AMD Ryzen 9 5950X
32GB RAM

• DeepStream Version
8.0

• NVIDIA GPU Driver Version (valid for GPU only)
NVIDIA Driver: 570.211.01

• Issue Type( questions, new requirements, bugs)
Quenstion
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
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Hi,

I’ve been going through the DeepStream 9.0 documentation and noticed that MTMC from previous versions no longer appears to be maintained. From what I understand, MV3DT may be intended as its replacement.

Could you clarify the relationship between these two approaches? Specifically:

  • What are the main differences in terms of architecture and capabilities?

  • Do they address the same use case (multi-target, multi-camera tracking), or are there key scope changes?

  • Is MV3DT a direct successor to MTMC, or should they be considered distinct solutions?

Any guidance or pointers to detailed documentation would be appreciated.

Thanks in advance.

Continuing the discussion from MV3DT vs MTMC:

DeepStream MV3DT vs MTMC

MV3DT (Multi-View 3D Tracking) and MTMC (Multi-Target Multi-Camera) are two distinct approaches for multi-camera tracking in the DeepStream SDK. While they share some similarities, they have different architectures, capabilities, and use cases.

Main Differences:

  1. Architecture:
  • MTMC: A centralized approach that aggregates metadata from multiple cameras and performs global target association and clustering.
  • MV3DT: A decentralized approach that enables real-time collaboration among cameras with overlapping fields of view (FOVs) to perform distributed global ID assignment and tracklet propagation.
  1. Capabilities:
  • MTMC: Focuses on multi-target tracking across multiple cameras, with an emphasis on global target association and clustering.
  • MV3DT: Provides a more comprehensive solution for multi-view 3D tracking, including object detection, single-view 3D tracking, and distributed global ID assignment.
  1. Use Cases:
  • MTMC: Suitable for applications that require centralized processing and global target association, such as surveillance systems.
  • MV3DT: Designed for applications that require real-time, decentralized processing, such as smart cities, industrial automation, and autonomous vehicles.

Relationship between MV3DT and MTMC:

MV3DT is not a direct successor to MTMC, but rather a distinct solution that addresses a broader range of use cases. While MTMC is no longer maintained in DeepStream 9.0, MV3DT provides a more advanced and flexible solution for multi-camera tracking.

Guidance and Documentation:

For more information on MV3DT, refer to the DeepStream 9.0 documentation, specifically the sections on MV3DT and the NvMultiObjectTracker Library. Additionally, the DeepStream Tracker 3D Multi-View reference repository provides example workflows and sample datasets for MV3DT.

In summary, MV3DT and MTMC are two distinct approaches for multi-camera tracking in DeepStream, with different architectures, capabilities, and use cases. MV3DT provides a more comprehensive solution for multi-view 3D tracking, while MTMC is no longer maintained.

Understood, thank you very much for the detailed explanation.