View source for 18205686. OBJECT DETECTION SYSTEM, OBJECT DETECTION METHOD, AND OBJECT DETECTION PROGRAM simplified abstract (NEC Corporation)

=OBJECT DETECTION SYSTEM, OBJECT DETECTION METHOD, AND OBJECT DETECTION PROGRAM=


==Organization Name==

[[:Category:NEC Corporation|NEC Corporation]]


[[Category:NEC Corporation]]

==Inventor(s)==

[[:Category:Mizuho Katayama of Tokyo (JP)|Mizuho Katayama of Tokyo (JP)]][[Category:Mizuho Katayama of Tokyo (JP)]]

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


This abstract first appeared for US patent application 18205686 titled 'OBJECT DETECTION SYSTEM, OBJECT DETECTION METHOD, AND OBJECT DETECTION PROGRAM

==Simplified Explanation==

The abstract describes an object detection system that predicts the presence of a target object in an image based on past detections. It generates partial regions of the object presence region and detects regions containing the target object. Finally, it detects the target object in the current image using the detected regions.

* Object presence region prediction: Predicts the region where the target object exists in the current image based on past detections.
* Object presence region fragment generation: Generates partial regions of the object presence region.
* Object detection: Detects regions containing the target object based on the generated object presence region fragments.
* Target object detection: Detects the target object in the current image using the detected regions.

== Potential Applications ==
* Surveillance systems: Can be used to detect specific objects or individuals in surveillance footage.
* Autonomous vehicles: Enables the detection of objects on the road, such as pedestrians or other vehicles.
* Robotics: Can be used in robots to identify and interact with specific objects in their environment.

== Problems Solved ==
* Efficient object detection: The system improves the efficiency of object detection by predicting the presence of the target object and generating partial regions of interest.
* Target object identification: By detecting the target object in the current image, the system helps in identifying and tracking specific objects.

== Benefits ==
* Time-saving: By predicting the object presence region and generating fragments, the system reduces the search space for object detection, saving time and computational resources.
* Improved accuracy: The system's ability to predict the presence of the target object and generate relevant fragments enhances the accuracy of object detection.
* Versatility: The technology can be applied to various domains, including surveillance, autonomous vehicles, and robotics, making it versatile and adaptable to different applications.


==Original Abstract Submitted==

An object detection system according to the present invention includes: an object presence region prediction means that predicts an object presence region, which is a region in which a target object exists in a current image, based on information indicating the target object detected in a past image; an object presence region fragment generation means that generates object presence region fragments, which are partial regions of the object presence region, based on the object presence region; an object detection means that detects an object detection fragment, which is a region containing the target object, based on the object presence region fragment; and a target object detection means that detects the target object from the current image using the object detection fragment.



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