Track points in a video by clicking or using grid
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Identify and track faces in videos
Control object motion in videos using 2D trajectories
Identify objects in images and videos
Track objects in uploaded videos
Find objects in videos
Detect cars, trucks, buses, and motorcycles in videos
Track objects in a video
Track moving objects in videos or webcam feed
A UI for drone detection for YOLO-powered detection system.
SOTA real-time object detection model
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CoTracker is an AI-powered tool designed to track objects in video with precision and ease. It allows users to efficiently monitor moving points by clicking on objects or using a grid-based system, making it a versatile solution for video analysis. CoTracker is suitable for both real-time and post-processing video analysis, enabling users to track objects seamlessly across frames.
• Intuitive User Interface: simplified for easy tracking operations • Grid and Click Tracking: track points by clicking or using a grid overlay • Advanced AI Tracking: handles object occlusion and complex movements • Multi-Object Tracking: supports tracking multiple objects in a single video • Export Data: save tracking results for further analysis • Customizable Settings: adjust tracking parameters for specific needs
What video formats does CoTracker support?
CoTracker supports MP4, AVI, MOV, and other common video formats.
Can CoTracker track objects in real-time?
Yes, CoTracker can track objects in real-time depending on system performance and video resolution.
How does CoTracker handle objects that go out of view?
CoTracker uses advanced AI algorithms to predict and re-acquire objects that temporarily leave the frame or are occluded.