Google llc (20240193903). Detecting Portions of Images Indicative of the Presence of an Object simplified abstract
Contents
Detecting Portions of Images Indicative of the Presence of an Object
Organization Name
Inventor(s)
Skirmantas Kligys of Manhattan Beach CA (US)
Wen-Sheng Chu of Santa Clara CA (US)
Xiaoming Liu of Mountain View CA (US)
Detecting Portions of Images Indicative of the Presence of an Object - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193903 titled 'Detecting Portions of Images Indicative of the Presence of an Object
The patent application describes a method for detecting objects in an image using image segmentation and convolutional models.
- The method involves analyzing an input image to identify indicative areas that may contain objects.
- A convolutional model is then used to generate labels for these areas, indicating the presence of specific objects.
- Actions are taken based on the labels generated, such as highlighting or tracking the identified objects.
Potential Applications: - Object detection in security systems - Autonomous vehicles for identifying obstacles - Medical imaging for detecting anomalies in scans
Problems Solved: - Efficient and accurate object detection in images - Automation of object identification tasks - Improved image analysis in various industries
Benefits: - Enhanced image processing capabilities - Increased accuracy in object detection - Time-saving in manual object identification tasks
Commercial Applications: "Advanced Image Analysis Technology for Object Detection in Various Industries"
Prior Art: Researchers can explore existing patents related to image segmentation and object detection using convolutional models.
Frequently Updated Research: Stay updated on advancements in image processing and object detection technologies for potential improvements in the method described.
Questions about Object Detection Technology: 1. How does this method compare to traditional object detection techniques? 2. What are the limitations of using convolutional models for object detection?
Original Abstract Submitted
provided are systems and methods for detecting an object in an image. the method can include receiving an input image and analyzing the input image using an image segmentation model to identify one or more indicative areas within the input image, the one or more indicative areas being indicative of one or more objects within the input image. the method can also include analyzing the one or more indicative areas of the input image using a convolutional model to generate at least one label for at least one portion of the one or more indicative areas of the input image, the label indicating whether a specific object is identified within the input image, and performing at least one action based on the at least one label for the at least one portion.
