Detect and visualize poses in videos
Small Space to test ViTPose
Visualize pose-format components and points.
Detect and annotate poses in images and videos
Showcasing Yolo, enabling human pose detection
Estimate human poses in images
Mediapipe, OpenCV, CVzone simple pose detection
Synthpose Markerless MoCap VitPose
Create a video using aligned poses from an image and a dance video
Estimate hand pose from an RGB image
Estimate 3D character pose from a sketch
Detect poses in real-time video
Detect human poses in images
Pose Video is an AI-powered tool designed for pose estimation, enabling users to detect and visualize human poses in video content. It leverages advanced computer vision technology to analyze movement and provide detailed insights into body positioning, making it a valuable resource for applications such as fitness training, dance analysis, and surveillance.
• Real-time pose detection: Analyzes video frames to identify body keypoints in real-time.
• Multi-person support: Detects and tracks poses of multiple individuals in a single video.
• High accuracy: Delivers precise pose estimation even in complex or dynamic environments.
• Customizable settings: Allows users to adjust sensitivity and focus areas for specific use cases.
• Integration capabilities: Compatible with various video formats and third-party software.
• Export options: Generates output in formats like JSON or visual overlays for further analysis.
What file formats does Pose Video support?
Pose Video supports common video formats such as MP4, AVI, and MOV, as well as image sequences for frame-by-frame analysis.
Can Pose Video handle real-time video streaming?
Yes, Pose Video is optimized for real-time processing, making it suitable for live video streams and immediate feedback applications.
How does Pose Video ensure privacy and data security?
Pose Video adheres to strict data protection guidelines, ensuring that all analyzed videos and data remain confidential and are not shared externally.