18374722. IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM simplified abstract (NEC Corporation)
Contents
- 1 IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE RECORDING 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 Unanswered Questions
- 1.11 Original Abstract Submitted
IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM
Organization Name
Inventor(s)
IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18374722 titled 'IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM
Simplified Explanation
The abstract describes an image processing apparatus that utilizes a neural network model to analyze video frames and identify regions where a target is present based on foreground information.
- Foreground information generating unit: Generates foreground information from a video frame to indicate the region where a target is present.
- Model applying unit: Applies the frame and foreground information to a neural network model that has learned image feature maps of the target.
Potential Applications
This technology could be used in various applications such as video surveillance, object tracking, and image recognition systems.
Problems Solved
This technology helps in accurately identifying and tracking targets in video frames, which can be challenging in complex and dynamic environments.
Benefits
The benefits of this technology include improved accuracy in target detection, efficient processing of video data, and enhanced performance of image processing tasks.
Potential Commercial Applications
Potential commercial applications of this technology include security systems, autonomous vehicles, augmented reality applications, and video analytics software.
Possible Prior Art
One possible prior art for this technology could be existing image processing systems that use neural networks for object detection and recognition in video frames.
Unanswered Questions
How does the neural network model handle variations in lighting conditions or background clutter in the video frames?
The abstract does not provide specific details on how the neural network model is trained to handle variations in lighting conditions or background clutter that may affect target detection accuracy.
What is the computational complexity of applying the neural network model to each video frame in real-time applications?
The abstract does not mention the computational resources required to apply the neural network model to each video frame in real-time scenarios, which could impact the feasibility of deploying this technology in resource-constrained environments.
Original Abstract Submitted
An image processing apparatus includes: a foreground information generating unit that generates, from a frame constituting video frame, foreground information indicating a region of the frame in which a target is present; and a model applying unit that applies the frame and the foreground information generated from the frame to a neural network model that has performed machine learning of an image feature map of the target.
