18274654. VIDEO PROCESSING SYSTEM, VIDEO PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM simplified abstract (NEC Corporation)
Contents
- 1 VIDEO PROCESSING SYSTEM, VIDEO PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VIDEO PROCESSING SYSTEM, VIDEO PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - 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 Original Abstract Submitted
VIDEO PROCESSING SYSTEM, VIDEO PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Organization Name
Inventor(s)
Daisuke Sugidomari of Tokyo (JP)
VIDEO PROCESSING SYSTEM, VIDEO PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18274654 titled 'VIDEO PROCESSING SYSTEM, VIDEO PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Simplified Explanation
The patent application describes a video processing system that includes various units to acquire, process, and store information related to individuals in video data.
- Image acquisition unit: Acquires at least one frame image from video data.
- Skeleton information generation unit: Generates skeleton information based on a person's body region in the frame image.
- Behavior conversion unit: Converts skeleton information into a behavior ID.
- Person specifying unit: Specifies a person ID based on the facial region of the person in the frame image.
- Registration unit: Registers behavior ID, person ID, and scene-related information in a database.
Potential Applications
This technology could be applied in security systems for identifying and tracking individuals, in sports analytics for player movement analysis, and in healthcare for monitoring patient behavior.
Problems Solved
This technology solves the problem of efficiently identifying and tracking individuals in video data, enabling better analysis and understanding of their behavior.
Benefits
The benefits of this technology include improved security monitoring, enhanced sports performance analysis, and more accurate healthcare behavior tracking.
Potential Commercial Applications
The potential commercial applications of this technology could include security surveillance systems, sports performance analysis software, and healthcare monitoring devices.
Possible Prior Art
One possible prior art for this technology could be existing video analytics systems used in security and sports industries. These systems may have similar functionalities but may not specifically focus on behavior and person identification in the same way.
Unanswered Questions
This technology does not address the potential privacy concerns related to facial recognition and behavior tracking. It is essential to consider the ethical implications and regulatory requirements when implementing such systems.
What are the limitations of this technology in terms of accuracy and real-time processing?
The patent application does not provide information on the accuracy of the behavior and person identification process or the system's ability to process data in real-time. Further research and testing would be needed to determine the technology's limitations in these areas.
Original Abstract Submitted
A video processing system () includes: an image acquisition unit () that acquires at least one frame image included in video data; a skeleton information generation unit () that generates skeleton information based on a body region of a person included in the at least one frame image; a behavior conversion unit () that converts the skeleton information into a behavior ID; a person specifying unit () that specifies, based on a facial region of the person included in the at least one frame image, a person ID for identifying features of a person estimated to be an identical person; and a registration unit () that registers the behavior ID, the person ID, and scene-related information related to the at least one frame image in a database in association with each other.
