View source for 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

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


==Organization Name==

[[:Category:boe technology group co., ltd.|boe technology group co., ltd.]]


[[Category:boe technology group co., ltd.]]

==Inventor(s)==

[[:Category:Tingting Wang of Beijing (CN)|Tingting Wang of Beijing (CN)]][[Category:Tingting Wang of Beijing (CN)]]

[[:Category:Zhanfu An of Beijing (CN)|Zhanfu An of Beijing (CN)]][[Category: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.



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