18284610. OBJECT DETECTION APPARATUS, OBJECT DETECTION SYSTEM, OBJECT DETECTION METHOD, AND RECORDING MEDIUM simplified abstract (NEC Corporation)

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OBJECT DETECTION APPARATUS, OBJECT DETECTION SYSTEM, OBJECT DETECTION METHOD, AND RECORDING MEDIUM

Organization Name

NEC Corporation

Inventor(s)

Masaya Fujiwaka of Tokyo (JP)

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

This abstract first appeared for US patent application 18284610 titled 'OBJECT DETECTION APPARATUS, OBJECT DETECTION SYSTEM, OBJECT DETECTION METHOD, AND RECORDING MEDIUM

Simplified Explanation

The object detection apparatus described in the abstract performs compression encoding on images to extract feature quantities for object detection.

  • Generation unit performs compression encoding on first and second images to extract feature quantities for object detection.
  • Detection unit uses the extracted feature quantities to detect the target object in the first image.

Potential Applications

The technology can be applied in various fields such as surveillance systems, autonomous vehicles, and robotics for accurate object detection.

Problems Solved

1. Efficient extraction of feature quantities for object detection. 2. Compression of images for storage and later decoding.

Benefits

1. Improved accuracy in object detection. 2. Reduced storage space for images. 3. Faster processing of images for detection.

Potential Commercial Applications

Enhanced security systems, automated traffic monitoring, and industrial automation can benefit from this technology.

Possible Prior Art

One possible prior art could be the use of deep learning algorithms for object detection in images, but the specific method of compression encoding for feature extraction may be unique to this patent application.

Unanswered Questions

How does the compression encoding affect the quality of the extracted feature quantities for object detection?

The abstract does not provide details on the impact of compression encoding on the accuracy of object detection using the extracted feature quantities.

What is the processing time required for extracting feature quantities from compressed, encoded images?

The abstract does not mention the computational efficiency of the compression encoding and feature extraction process.


Original Abstract Submitted

An object detection apparatus includes: a generation unit that performs compression encoding on each of a first image obtained from an image generation apparatus and a second image indicating a detection target object so as to extract a feature quantity that allows object detection and so as to be decoded later, thereby generate respective one of first encoding information that is the compressed, encoded first image and that is usable as a first feature quantity that is the feature quantity of the first image, and second encoding information that is the compressed, encoded second image and that is usable as a second feature quantity that is the feature quantity of the second image; and a detection unit that detects the detection target object in the first image, by using the first and second feature quantities.