BoT-SORT
Robust Associations Multi-Pedestrian Tracking using motion and appearance information with camera-motion compensation.

A comprehensive real-time streaming analytics toolkit for AI-based multi-sensor processing and video understanding.
The NVIDIA DeepStream SDK is a complete streaming analytics toolkit built on GStreamer, designed for AI-based multi-sensor data processing. It facilitates real-time video, audio, and image understanding, ideal for creating vision AI agents and applications. DeepStream enables rapid deployment of stream-processing pipelines incorporating generative AI and complex tasks like multi-camera tracking. As part of NVIDIA Metropolis, DeepStream transforms pixel and sensor data into actionable insights. The SDK offers a 100% NVIDIA GPU-accelerated pipeline, reducing development time and minimizing TCO. DeepStream supports multiple programming options including C/C++ and Python, along with over 40 GPU-accelerated plugins. It integrates with NVIDIA Triton Inference Server and TensorRT, ensuring flexibility and optimal performance from prototyping to production.
The NVIDIA DeepStream SDK is a complete streaming analytics toolkit built on GStreamer, designed for AI-based multi-sensor data processing.
Explore all tools that specialize in video analytics. This domain focus ensures NVIDIA DeepStream SDK delivers optimized results for this specific requirement.
Explore all tools that specialize in object detection. This domain focus ensures NVIDIA DeepStream SDK delivers optimized results for this specific requirement.
Explore all tools that specialize in multi-camera tracking. This domain focus ensures NVIDIA DeepStream SDK delivers optimized results for this specific requirement.
Explore all tools that specialize in real-time inference. This domain focus ensures NVIDIA DeepStream SDK delivers optimized results for this specific requirement.
Open side-by-side comparison first, then move to deeper alternatives guidance.
Verified feedback from other users.
No reviews yet. Be the first to rate this tool.
Robust Associations Multi-Pedestrian Tracking using motion and appearance information with camera-motion compensation.
Pluggable SOTA multi-object tracking modules for segmentation, object detection, and pose estimation models.

A simple, fast, and strong multi-object tracker that associates every detection box.

A large-scale street fashion dataset with polygon annotations for computer vision research.

A pure ConvNet model constructed entirely from standard ConvNet modules, designed for the 2020s.

A suite of libraries, tools, and APIs for applying AI and ML techniques across multiple platforms and modalities.