17798080. TARGET DETECTION METHOD AND APPARATUS, AND STORAGE MEDIUM AND ELECTRONIC DEVICE simplified abstract (BOE TECHNOLOGY GROUP CO., LTD.)

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TARGET DETECTION METHOD AND APPARATUS, AND STORAGE MEDIUM AND ELECTRONIC DEVICE

Organization Name

BOE TECHNOLOGY GROUP CO., LTD.

Inventor(s)

Zilu Wang of Beijing (CN)

TARGET DETECTION METHOD AND APPARATUS, AND STORAGE MEDIUM AND ELECTRONIC DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17798080 titled 'TARGET DETECTION METHOD AND APPARATUS, AND STORAGE MEDIUM AND ELECTRONIC DEVICE

Simplified Explanation

The patent application describes a method and apparatus for target detection using convolutional layers in an electronic device. The method involves acquiring an input image and performing feature extraction using multiple convolutional layers to obtain a reference feature image. Further feature extraction is performed on the reference feature image to obtain a first target feature image, and then on the first target feature image to obtain a second target feature image. The method also includes acquiring pre-selected images for each point on the first and second target feature images, and determining a target pre-selected image from a set of reference pre-selected images. Target detection is then completed using a target detection algorithm.

  • The method involves acquiring an input image and performing feature extraction using convolutional layers.
  • Multiple convolutional layers are used to obtain a reference feature image.
  • Further feature extraction is performed on the reference feature image to obtain target feature images.
  • Pre-selected images are acquired for each point on the target feature images.
  • A target pre-selected image is determined from a set of reference pre-selected images.
  • Target detection is completed using a target detection algorithm.

Potential Applications

  • Target detection in surveillance systems.
  • Object recognition in autonomous vehicles.
  • Facial recognition in security systems.
  • Image analysis in medical diagnostics.

Problems Solved

  • Efficient and accurate target detection.
  • Improved feature extraction using convolutional layers.
  • Enhanced object recognition capabilities.

Benefits

  • Higher accuracy in target detection.
  • Faster processing of input images.
  • Improved performance in various applications.
  • Enhanced capabilities for image analysis.


Original Abstract Submitted

A target detection method and apparatus, a computer-readable storage medium, and an electronic device. The method comprises: acquiring an input image, and performing feature extraction on the input image by means of a first convolutional layer and a second convolutional layer to obtain a reference feature image (S); performing feature extraction on the reference feature image by means of a third convolutional layer to obtain a first target feature image, and performing feature extraction on the first target feature image by means of a fourth convolutional layer to obtain a second target feature image (S); acquiring a reference pre-selected image of each point on the first target feature image and the second target feature image (S); and determining a target pre-selected image from among a plurality of reference pre-selected images, and completing target detection by means of a target detection algorithm (S).

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