18548841. METHOD, COMPUTER PROGRAM, STORAGE MEDIUM, PERSON DETECTOR AND MONITORING ARRANGEMENT FOR PERSON DETECTION simplified abstract (Robert Bosch GmbH)
METHOD, COMPUTER PROGRAM, STORAGE MEDIUM, PERSON DETECTOR AND MONITORING ARRANGEMENT FOR PERSON DETECTION
Organization Name
Inventor(s)
Gregor Blott of Salzgitter (DE)
METHOD, COMPUTER PROGRAM, STORAGE MEDIUM, PERSON DETECTOR AND MONITORING ARRANGEMENT FOR PERSON DETECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18548841 titled 'METHOD, COMPUTER PROGRAM, STORAGE MEDIUM, PERSON DETECTOR AND MONITORING ARRANGEMENT FOR PERSON DETECTION
The patent application describes a method for domain-specific person detection using cameras in a monitoring area.
- Monitoring area is observed by one or more cameras, each providing image data for a specific section.
- Person detector operates in detection mode and adaptation mode, based on a machine learning algorithm.
- In adaptation mode, monitoring area is temporarily restricted to a limited area for domain adaptation of the original model.
- Application model is created based on image data from the limited monitoring area for person detection and tracking in detection mode.
- Key Features and Innovation:**
- Utilizes machine learning algorithm for person detection in a specific domain.
- Allows for adaptation of the original model to an application model for improved accuracy.
- Enhances person detection and tracking capabilities in the monitoring area.
- Potential Applications:**
- Security systems for identifying individuals in restricted areas.
- Retail analytics for tracking customer movement and behavior.
- Crowd management in public spaces for safety and security.
- Problems Solved:**
- Enhances accuracy of person detection in specific domains.
- Improves tracking capabilities for monitoring areas.
- Enables real-time analysis of image data for security and surveillance purposes.
- Benefits:**
- Increased efficiency in identifying and tracking individuals.
- Enhanced security measures in monitoring areas.
- Improved data analysis for better decision-making.
- Commercial Applications:**
Potential commercial applications include security systems, retail analytics software, and public safety solutions. This technology can be utilized in various industries to enhance security measures and improve customer experience.
- Questions about Domain-Specific Person Detection:**
1. How does the domain adaptation process improve person detection accuracy? 2. What are the potential challenges in implementing this technology in different monitoring areas?
Original Abstract Submitted
Method for domain-specific person detection, wherein a monitoring area () is monitored by means of one or a plurality of cameras (), wherein the cameras () each provide image data for a respective monitoring area section (), wherein a person detector can be operated in a detection mode and in an adaptation mode, wherein the person detector has a machine learning algorithm based on an original model for analyzing the image data and for detecting persons in the monitoring area (), wherein, for the adaptation mode, the monitoring area () is temporarily restricted to a limited monitoring area (), wherein the image data from the limited monitoring area () are recorded, wherein, based on the image data of the limited monitoring area (), a domain adaptation of the original model to an application model takes place, wherein, in the detection mode, the machine learning algorithm adapted to the application model is used for analysis of the image data, for person detection and/or for person tracking.
