Nec corporation (20240160342). OBJECT DETECTION DEVICE, OBJECT DETECTION METHOD, AND RECORDING MEDIUM simplified abstract

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OBJECT DETECTION DEVICE, OBJECT DETECTION METHOD, AND RECORDING MEDIUM

Organization Name

nec corporation

Inventor(s)

Yusuke Takahashi of Tokyo (JP)

OBJECT DETECTION DEVICE, OBJECT DETECTION METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240160342 titled 'OBJECT DETECTION DEVICE, OBJECT DETECTION METHOD, AND RECORDING MEDIUM

Simplified Explanation

The object detection device described in the patent application efficiently generates high-quality training data by utilizing a dictionary to detect objects in an input image, displaying the input image with emphasized partial areas of detected objects, allowing users to select a partial area and input the class of the selected area, generating training data based on the selected partial area and class, and using the training data to improve the detection capabilities of the device.

  • Detection unit uses a dictionary to detect objects in input images.
  • Reception unit displays input images with emphasized partial areas of detected objects and allows users to select areas and input classes.
  • Generation unit creates training data based on selected areas and classes.
  • Learning unit uses training data to improve object detection capabilities.

Potential Applications

This technology can be applied in various fields such as autonomous driving, surveillance systems, robotics, and image recognition software.

Problems Solved

1. Efficient generation of high-quality training data for object detection. 2. Improved accuracy and reliability of object detection systems.

Benefits

1. Enhanced object detection performance. 2. Streamlined training data generation process. 3. Increased efficiency in developing object detection algorithms.

Potential Commercial Applications

"Enhancing Object Detection Systems for Improved Performance"

Possible Prior Art

One possible prior art in this field is the use of manual annotation tools to generate training data for object detection systems. These tools require significant human effort and may not always produce accurate or sufficient training data.

Unanswered Questions

How does the device handle complex or overlapping objects in an image?

The patent abstract does not provide information on how the device deals with complex or overlapping objects in an image. It would be interesting to know if the device has specific algorithms or methods to address this issue.

What is the computational cost of generating training data using this device?

The abstract does not mention the computational resources required to generate training data. Understanding the computational cost can help assess the practicality and scalability of implementing this technology.


Original Abstract Submitted

provided is an object detection device or the like which efficiently generates good-quality training data. this object detection device is provided with: a detection unit which uses a dictionary to detect objects from an input image; a reception unit which displays, on a display device, the input image accompanied by a display emphasizing partial areas of detected objects, and receives, from one operation of an input device, a selection of a partial area and an input of the class of the selected partial area; a generation unit which generates training data from the image of the selected partial area and the inputted class; and a learning unit which uses the training data to learn the dictionary.