Intel corporation (20240161316). METHOD AND SYSTEM OF IMAGE PROCESSING WITH MULTI-SKELETON TRACKING simplified abstract
Contents
- 1 METHOD AND SYSTEM OF IMAGE PROCESSING WITH MULTI-SKELETON TRACKING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND SYSTEM OF IMAGE PROCESSING WITH MULTI-SKELETON TRACKING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD AND SYSTEM OF IMAGE PROCESSING WITH MULTI-SKELETON TRACKING
Organization Name
Inventor(s)
METHOD AND SYSTEM OF IMAGE PROCESSING WITH MULTI-SKELETON TRACKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161316 titled 'METHOD AND SYSTEM OF IMAGE PROCESSING WITH MULTI-SKELETON TRACKING
Simplified Explanation
The patent application describes a method and system for image processing with multi-skeleton tracking using a temporal object key point loss metric.
- The innovation involves tracking multiple skeletons in images by utilizing a temporal object key point loss metric.
- The system processes images to identify and track key points of multiple skeletons over time.
- The method includes a loss metric that helps optimize the tracking of skeletons in a temporal sequence.
- The technology aims to improve the accuracy and efficiency of skeleton tracking in image processing applications.
Potential Applications
The technology can be applied in various fields such as:
- Biomedical imaging for tracking movements in medical procedures.
- Sports analytics for tracking athletes' movements during training or competitions.
- Surveillance systems for monitoring and tracking individuals in crowded areas.
Problems Solved
The technology addresses the following issues:
- Improving the accuracy of skeleton tracking in complex image sequences.
- Enhancing the efficiency of tracking multiple skeletons simultaneously.
- Optimizing the performance of image processing systems in real-time applications.
Benefits
The benefits of this technology include:
- Enhanced tracking capabilities for multiple skeletons in images.
- Improved accuracy and reliability in tracking movements over time.
- Increased efficiency in processing image data for various applications.
Potential Commercial Applications
The technology can be utilized in commercial applications such as:
- Virtual reality and augmented reality systems for interactive experiences.
- Robotics for tracking human movements in industrial or service robots.
- Entertainment industry for motion capture in animation and special effects.
Possible Prior Art
One possible prior art for this technology could be existing methods for single skeleton tracking in image processing systems. However, the innovation of multi-skeleton tracking with a temporal object key point loss metric sets this technology apart from traditional approaches.
Unanswered Questions
How does the system handle occlusions or overlapping skeletons in images?
The article does not provide details on how the technology addresses occlusions or overlapping skeletons in image sequences.
What is the computational cost of implementing this method in real-time applications?
The article does not mention the computational resources required to implement the technology for real-time image processing tasks.
Original Abstract Submitted
a method and system of image processing with multi-skeleton tracking uses a temporal object key point loss metric.
