18537922. OBJECT FEATURE EXTRACTION DEVICE, OBJECT FEATURE EXTRACTION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM simplified abstract (NEC Corporation)
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 Unanswered Questions
- 1.11 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 18537922 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 extracted features.
- Video acquisition means: Acquires video and generates image sequences.
- Object detection means: Detects objects in the generated images and provides detection results.
- Object tracking means: Tracks objects based on detection results and image data, generating tracking results.
- Image storage means: Stores the acquired images.
- Detection result storage means: Stores the object detection results.
- Tracking result storage means: Stores the object tracking results.
- Object selection means: Calculates a quality index based on detection and tracking results, selects objects for feature extraction, and generates object selection information.
Potential Applications
This technology can be applied in various fields such as surveillance systems, autonomous vehicles, and robotics for object detection, tracking, and feature extraction.
Problems Solved
1. Efficient object detection and tracking in videos. 2. Predicting the quality of extracted features for selected objects.
Benefits
1. Improved accuracy in object detection and tracking. 2. Enhanced efficiency in feature extraction. 3. Better utilization of resources for processing video data.
Potential Commercial Applications
Optimizing surveillance systems, enhancing autonomous vehicle capabilities, and improving robotic systems for various industries.
Possible Prior Art
One possible prior art in this field is the use of machine learning algorithms for object detection and tracking in videos. These algorithms have been used in various applications to improve the accuracy and efficiency of object recognition systems.
Unanswered Questions
How does the device handle occlusions or changes in lighting conditions during object tracking?
The abstract does not provide specific details on how the device addresses occlusions or changes in lighting conditions that may affect object tracking accuracy.
What is the computational complexity of the object selection process based on detection and tracking results?
The abstract does not mention the computational resources required for the object selection process, which could be crucial for 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.
