18668951. SKELETAL TRACKING FOR REAL-TIME VIRTUAL EFFECTS simplified abstract (Snap Inc.)
Contents
SKELETAL TRACKING FOR REAL-TIME VIRTUAL EFFECTS
Organization Name
Inventor(s)
Olha Rykhliuk of Marina Del Rey CA (US)
Jonathan Solichin of Arcadia CA (US)
Olesia Voronova of Santa Monica CA (US)
Artem Yagodin of Playa del Rey CA (US)
SKELETAL TRACKING FOR REAL-TIME VIRTUAL EFFECTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18668951 titled 'SKELETAL TRACKING FOR REAL-TIME VIRTUAL EFFECTS
Simplified Explanation: The patent application describes a system and method for capturing real-time video using an image capture device and a skeletal pose system to apply virtual effects based on identified poses.
Key Features and Innovation:
- Real-time video capture with virtual effects based on skeletal pose information.
- Identification of multiple poses in the video for applying corresponding virtual effects.
- Integration of image capture device and skeletal pose system for enhanced video recording.
Potential Applications: This technology could be used in:
- Entertainment industry for creating interactive videos.
- Fitness industry for tracking and analyzing workout routines.
- Gaming industry for immersive gaming experiences.
Problems Solved:
- Enhances video recording capabilities by adding virtual effects.
- Provides a more engaging and interactive video experience.
- Simplifies the process of applying effects to videos based on poses.
Benefits:
- Improved user engagement with videos.
- Enhanced visual effects in real-time video capture.
- Streamlined process for adding effects to videos.
Commercial Applications: The technology could be utilized in various commercial applications such as:
- Virtual reality content creation.
- Social media platforms for interactive video features.
- Sports training and analysis tools.
Prior Art: Readers interested in prior art related to this technology could explore patents in the fields of computer vision, augmented reality, and video processing.
Frequently Updated Research: Researchers in the fields of computer vision and human-computer interaction may have ongoing studies related to real-time video processing and pose recognition technologies.
Questions about the Technology: 1. How does the skeletal pose system accurately identify poses in real-time video? 2. What are the potential limitations of applying virtual effects based on pose information in video recording?
Original Abstract Submitted
Systems and methods are presented for capturing a video in real-time by an image capture device using a skeletal pose system. The skeletal pose system identifies first pose information in the video, applies a first virtual effect to the video in response to identifying the first pose information, identifies second pose information in the video, and applies a second virtual effect to the video in response to identifying the first pose information.
