NVIDIA DeepStream Technical Deep Dive - Multi-Object Tracker

Dive deep into NVIDIA's DeepStream SDK and its multi-object tracking capabilities in this 28-minute technical video. Explore the fundamentals of the new tracker unified architecture, including how to select from three object tracker alternatives (NvDCF, DeepSORT, or IOU) or integrate your own tracker for vision AI app development. Gain insights into the tracker's state machine and learn which parameters can be configured to optimize performance for specific applications. Examine NVIDIA's state-of-the-art NvDCF tracker, comparing different configuration parameters and understanding the results and tradeoffs of various optimization strategies. Learn how to handle errors from detection and explore visual tracking in NvDCF. Conclude with a case study on TrafficCamNet, applying the concepts to real-world scenarios. Access additional resources for DeepStream tracker comparisons, parameter tuning, plugin documentation, and getting started guides to further enhance your understanding and implementation of multi-object tracking in AI-based multi-sensor processing applications.

Intro
DEEPSTREAM SDK
MULTI-OBJECT TRACKERS IN DEEPSTREAM
MULTI-OBJECT TRACKING IN A NUTSHELL
HANDLING ERRORS FROM DETECTION
VISUAL TRACKING IN NVDCF
CASE STUDY: TRAFFICCAMNET