View source for Intel corporation (20240161316). METHOD AND SYSTEM OF IMAGE PROCESSING WITH MULTI-SKELETON TRACKING simplified abstract

=METHOD AND SYSTEM OF IMAGE PROCESSING WITH MULTI-SKELETON TRACKING=


==Organization Name==

[[:Category:intel corporation|intel corporation]]


[[Category:intel corporation]]

==Inventor(s)==

[[:Category:Hongzhai Tao of Beijing (CN)|Hongzhai Tao of Beijing (CN)]][[Category:Hongzhai Tao of Beijing (CN)]]

[[:Category:Yikai Fang of Bejing (CN)|Yikai Fang of Bejing (CN)]][[Category:Yikai Fang of Bejing (CN)]]

[[:Category:Longwei Fang of Beijing (CN)|Longwei Fang of Beijing (CN)]][[Category:Longwei Fang of Beijing (CN)]]

==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.



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