View source for 17772923. OBJECT DETECTION METHOD, OBJECT DETECTION APPARATUS, AND OBJECT DETECTION SYSTEM simplified abstract (BOE TECHNOLOGY GROUP CO., LTD.)

=OBJECT DETECTION METHOD, OBJECT DETECTION APPARATUS, AND OBJECT DETECTION SYSTEM=


==Organization Name==

[[:Category:BOE TECHNOLOGY GROUP CO., LTD.|BOE TECHNOLOGY GROUP CO., LTD.]]


[[Category:BOE TECHNOLOGY GROUP CO., LTD.]]

==Inventor(s)==

[[:Category:Chunshan Zu of Beijing (CN)|Chunshan Zu of Beijing (CN)]][[Category:Chunshan Zu of Beijing (CN)]]

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


This abstract first appeared for US patent application 17772923 titled 'OBJECT DETECTION METHOD, OBJECT DETECTION APPARATUS, AND OBJECT DETECTION SYSTEM

==Simplified Explanation==

The object detection method described in the patent application involves preprocessing a video to be detected, inputting the image into an object detection network, extracting a feature map, performing object prediction, and generating a marked object video based on the object's position and confidence level.

* Preprocessing of video to obtain an image for detection
* Inputting image into object detection network
* Extracting feature map and performing object prediction
* Generating marked object video based on object position and confidence level

== Potential Applications ==
The technology can be applied in various fields such as surveillance, autonomous vehicles, robotics, and augmented reality for object detection and tracking.

== Problems Solved ==
The method solves the problem of efficiently detecting and tracking objects in videos, which is crucial for applications like security monitoring, traffic management, and object recognition.

== Benefits ==
The benefits of this technology include improved accuracy in object detection, real-time tracking capabilities, and enhanced overall performance in various applications.

== Potential Commercial Applications ==
The technology can be commercialized in industries such as security, transportation, entertainment, and manufacturing for developing advanced systems that require reliable object detection and tracking capabilities.

== Possible Prior Art ==
One possible prior art for this technology could be existing object detection algorithms and systems used in computer vision and image processing applications.

=== Unanswered Questions ===

=== How does this method compare to other object detection techniques currently available in the market? ===
The article does not provide a direct comparison with existing object detection techniques, making it unclear how this method stands out in terms of performance, accuracy, and efficiency.

=== What are the specific technical requirements for implementing this object detection method? ===
The article does not detail the specific technical requirements or hardware/software dependencies needed to implement this object detection method, leaving a gap in understanding the practical aspects of its deployment.


==Original Abstract Submitted==

An object detection method includes: obtaining a video to be detected; preprocessing the video to be detected to obtain an image to be detected; inputting the image to be detected into an object detection network; extracting, by the object detection network, a feature map of the image to be detected; performing, by the object detection network, an object prediction on the extracted feature map to obtain a position of an object in the image to be detected and a confidence degree corresponding to the position; and generating a marked object video according to the position of the object in the image to be detected, the confidence degree corresponding to the position, and the video to be detected.



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