18755896. VIDEO SURVEILLANCE SYSTEM, VIDEO PROCESSING APPARATUS, VIDEO PROCESSING METHOD, AND VIDEO PROCESSING PROGRAM simplified abstract (NEC Corporation)
Contents
- 1 VIDEO SURVEILLANCE SYSTEM, VIDEO PROCESSING APPARATUS, VIDEO PROCESSING METHOD, AND VIDEO PROCESSING PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VIDEO SURVEILLANCE SYSTEM, VIDEO PROCESSING APPARATUS, VIDEO PROCESSING METHOD, AND VIDEO PROCESSING PROGRAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Video Processing Apparatus
- 1.13 Original Abstract Submitted
VIDEO SURVEILLANCE SYSTEM, VIDEO PROCESSING APPARATUS, VIDEO PROCESSING METHOD, AND VIDEO PROCESSING PROGRAM
Organization Name
Inventor(s)
VIDEO SURVEILLANCE SYSTEM, VIDEO PROCESSING APPARATUS, VIDEO PROCESSING METHOD, AND VIDEO PROCESSING PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18755896 titled 'VIDEO SURVEILLANCE SYSTEM, VIDEO PROCESSING APPARATUS, VIDEO PROCESSING METHOD, AND VIDEO PROCESSING PROGRAM
Simplified Explanation
The patent application describes a video processing apparatus that analyzes video data from surveillance cameras, detects specific events, and allows operators to set categories for these events. The apparatus also accumulates learning data based on the operator's category settings.
- Video analyzer analyzes video data and detects specific events.
- Display controller shows a category setting screen for operators to set event categories.
- Learning data accumulator stores learning data and category information set by operators.
- Learning processing is performed using accumulated learning data.
Key Features and Innovation
- Video analyzer for event detection.
- Display controller for category setting.
- Learning data accumulator for storing learning data.
- Learning processing based on accumulated data.
Potential Applications
This technology can be used in surveillance systems, security monitoring, and automated event categorization in video processing applications.
Problems Solved
- Efficient event detection in video data.
- Simplified event categorization process.
- Enhanced learning capabilities for the system.
Benefits
- Improved surveillance efficiency.
- Streamlined event categorization.
- Enhanced system learning and adaptability.
Commercial Applications
This technology can be applied in security systems, smart city infrastructure, and video analytics software for various industries.
Prior Art
Researchers can explore existing patents related to video analytics, event detection, and learning algorithms in surveillance systems.
Frequently Updated Research
Stay updated on advancements in video processing algorithms, machine learning techniques, and real-time event detection technologies.
Questions about Video Processing Apparatus
How does the video analyzer detect specific events in the video data?
The video analyzer uses algorithms to analyze patterns, movements, and other visual cues to identify events in the video data.
What are the potential implications of using learning data in event detection algorithms?
Utilizing learning data can improve the accuracy and efficiency of event detection algorithms by continuously refining the system's understanding of different event categories.
Original Abstract Submitted
A video processing apparatus includes a video analyzer that analyzes video data captured by a surveillance camera, detects an event belonging to a specific category, and outputs a detection result, a display controller that displays, together with a video of the video data, a category setting screen for setting a category of an event included in the video, and a learning data accumulator that accumulates, as learning data together with the video data, category information set in accordance with an operation by an operator to the category setting screen. The video analyzer performs learning processing by using the learning data accumulated in the learning data accumulator.
