Nec corporation (20240135552). OBJECT FEATURE EXTRACTION DEVICE, OBJECT FEATURE EXTRACTION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM simplified abstract
Contents
- 1 OBJECT FEATURE EXTRACTION DEVICE, OBJECT FEATURE EXTRACTION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 OBJECT FEATURE EXTRACTION DEVICE, OBJECT FEATURE EXTRACTION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
OBJECT FEATURE EXTRACTION DEVICE, OBJECT FEATURE EXTRACTION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Organization Name
Inventor(s)
OBJECT FEATURE EXTRACTION DEVICE, OBJECT FEATURE EXTRACTION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135552 titled 'OBJECT FEATURE EXTRACTION DEVICE, OBJECT FEATURE EXTRACTION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Simplified Explanation
The object feature extraction device described in the abstract is a system that can detect and track objects in a video, select specific objects for feature extraction, and predict the quality of the features extracted from those objects.
- Video acquisition means: Acquires a video and generates it as an image sequence.
- Object detection means: Detects objects in the generated image and produces a detection result.
- Object tracking means: Tracks the detected object based on the image and detection result, generating a tracking result.
- Image storage means: Stores the acquired image.
- Detection result storage means: Stores the detection result.
- Tracking result storage means: Stores the tracking result.
- Object selection means: Calculates a quality index based on the detection and tracking results, selects objects for feature extraction, and generates object selection information.
Potential Applications
This technology can be used in various fields such as surveillance, autonomous vehicles, robotics, and augmented reality for object detection, tracking, and feature extraction.
Problems Solved
1. Efficient object detection and tracking in videos. 2. Predicting the quality of features extracted from objects.
Benefits
1. Improved accuracy in object detection and tracking. 2. Enhanced efficiency in feature extraction. 3. Better understanding of object behavior over time.
Potential Commercial Applications
"Object Feature Extraction Device for Enhanced Object Detection and Tracking" can be applied in industries like security, transportation, manufacturing, and entertainment for improved object analysis and monitoring.
Possible Prior Art
One possible prior art could be the use of computer vision algorithms for object detection and tracking in videos. Another could be the implementation of feature extraction techniques in image processing systems.
Unanswered Questions
How does the device handle occlusions in object tracking?
The abstract does not mention how the device deals with occlusions when tracking objects. This could be a crucial aspect to consider in scenarios where objects are partially or fully hidden from view.
What is the computational cost of the object selection process?
The abstract does not provide information on the computational resources required for the object selection process. Understanding the computational cost could help in assessing the feasibility of implementing this technology in real-time applications.
Original Abstract Submitted
according to an example embodiment, an object feature extraction device includes a video acquisition means for acquiring a video and generating the acquired video as an image sequence, an object detection means for detecting an object from the generated image and generating a detection result, an object tracking means for tracking the object based on the generated image and the detection result and generating a tracking result, an image storage means for storing the image, a detection result storage means for storing the detection result, a tracking result storage means for storing the tracking result, an object selection means for calculating, based on the detection result and the tracking result, a quality index for predicting the quality of a feature of the object detected at an extraction time, selecting the object to be subjected to feature extraction, and generating object selection information.
