Texas instruments incorporated (20240346666). THREE DIMENSIONAL (3D) OBJECT DETECTION simplified abstract
Contents
THREE DIMENSIONAL (3D) OBJECT DETECTION
Organization Name
texas instruments incorporated
Inventor(s)
Aishwarya Dubey of Plano TX (US)
Hetul Sanghvi of Murphy TX (US)
THREE DIMENSIONAL (3D) OBJECT DETECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346666 titled 'THREE DIMENSIONAL (3D) OBJECT DETECTION
- Simplified Explanation:**
The patent application describes a method for identifying regions of interest (ROIs) in a video image using optical flow analysis.
- Key Features and Innovation:**
- Receiving a video image from a camera and computing an optical flow image.
- Calculating the magnitude of optical flow and generating a histogram of optical flow magnitudes (HOFM) for the video image.
- Creating a mask to indicate ROIs based on the HOFM analysis.
- Potential Applications:**
This technology can be used in video surveillance systems, object tracking in videos, and autonomous vehicles for identifying important regions in the visual data.
- Problems Solved:**
The method helps in efficiently identifying regions of interest in video images, which can be crucial for various applications such as security monitoring and object recognition.
- Benefits:**
- Improved accuracy in identifying important regions in video images.
- Enhanced efficiency in processing visual data.
- Enables better decision-making based on the identified ROIs.
- Commercial Applications:**
Potential commercial applications include security systems, traffic monitoring, sports analytics, and robotics for object detection and tracking.
- Questions about the Technology:**
1. How does this method improve the accuracy of identifying ROIs in video images? 2. What are the key advantages of using optical flow analysis for detecting regions of interest in visual data?
Original Abstract Submitted
a method for identifying regions of interest (rois) includes receiving, by a processor from a video camera, a video image and computing, by the processor, an optical flow image, based on the video image. the method also includes computing, by the processor, a magnitude of optical flow image based on the video image and computing a histogram of optical flow magnitudes (hofm) image for the video image based on the magnitude of optical flow image. additionally, the method includes generating, by the processor, a mask indicating rois of the video image, based on the hofm.
