Boe technology group co., ltd. (20240249547). PEDESTRIAN ATTRIBUTE RECOGNITION METHOD BASED ON A PEDESTRIAN ATTRIBUTE RECOGNITION SYSTEM AND METHOD FOR TRAINING THE SAME simplified abstract

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PEDESTRIAN ATTRIBUTE RECOGNITION METHOD BASED ON A PEDESTRIAN ATTRIBUTE RECOGNITION SYSTEM AND METHOD FOR TRAINING THE SAME

Organization Name

boe technology group co., ltd.

Inventor(s)

Tingting Wang of Beijing (CN)

Zhanfu An of Beijing (CN)

PEDESTRIAN ATTRIBUTE RECOGNITION METHOD BASED ON A PEDESTRIAN ATTRIBUTE RECOGNITION SYSTEM AND METHOD FOR TRAINING THE SAME - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240249547 titled 'PEDESTRIAN ATTRIBUTE RECOGNITION METHOD BASED ON A PEDESTRIAN ATTRIBUTE RECOGNITION SYSTEM AND METHOD FOR TRAINING THE SAME

Simplified Explanation: The patent application describes a method for recognizing pedestrian attributes using a system with attribute localization modules.

  • The system includes attribute localization modules that correspond to multiple pedestrian attributes.
  • Each attribute localization module consists of a spatial transformation unit and an attribute recognition unit.
  • The method involves extracting feature information from a discernible region related to pedestrian attributes and outputting recognition results based on this information.

Key Features and Innovation:

  • System with attribute localization modules for recognizing pedestrian attributes.
  • Spatial transformation unit extracts feature information from discernible regions.
  • Attribute recognition unit outputs recognition results based on the extracted information.

Potential Applications: This technology can be used in surveillance systems, smart cities, and autonomous vehicles for pedestrian attribute recognition.

Problems Solved:

  • Efficient recognition of multiple pedestrian attributes.
  • Improved accuracy in identifying pedestrian characteristics.

Benefits:

  • Enhanced pedestrian monitoring and analysis.
  • Increased safety in crowded areas.
  • Better performance in surveillance and security applications.

Commercial Applications: The technology can be applied in security systems, urban planning, and transportation for efficient pedestrian attribute recognition.

Questions about Pedestrian Attribute Recognition: 1. How does the system differentiate between various pedestrian attributes? 2. What are the potential challenges in implementing this technology in real-world scenarios?

Frequently Updated Research: Researchers are continuously exploring new algorithms and techniques to enhance pedestrian attribute recognition systems. Stay updated on advancements in computer vision and deep learning for improved accuracy and efficiency.


Original Abstract Submitted

a pedestrian attribute recognition method based on a pedestrian attribute recognition system is provided, and the system includes at least one attribute localization module. each attribute localization module corresponds to a plurality of pedestrian attributes; and the attribute localization module includes a spatial transformation unit and an attribute recognition unit. the method includes: extracting, by the spatial transformation unit, feature information in a discriminable region from feature information input into the spatial transformation unit, and the discriminable region being related to the plurality of pedestrian attributes corresponding to the attribute localization module; and outputting, by the attribute recognition unit, recognition results of the plurality of pedestrian attributes corresponding to the attribute localization module according to the feature information in the discriminable region.