Nec corporation (20240119087). IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM simplified abstract
Contents
- 1 IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY STORAGE 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
IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM
Organization Name
Inventor(s)
IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119087 titled 'IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM
Simplified Explanation
The present invention provides an image processing apparatus including: a query acquisition unit that acquires a plurality of first frame images in time series; a skeletal structure detection unit that detects a keypoint of an object included in each of a plurality of the first frame images; a feature value computation unit that computes a feature value of the detected keypoint for each of the first frame images; a change computation unit that computes a direction of change in the feature value along a time axis of a plurality of the first frame images in time series; and a search unit that searches for a moving image by using the computed direction of change in the feature value as a key.
- Query acquisition unit acquires multiple first frame images in time series.
- Skeletal structure detection unit identifies keypoints of objects in the first frame images.
- Feature value computation unit calculates feature values of the detected keypoints.
- Change computation unit determines the direction of change in feature values over time.
- Search unit uses the direction of change in feature values to find moving images.
Potential Applications
This technology can be applied in surveillance systems, video analysis, and motion tracking in sports broadcasting.
Problems Solved
This technology helps in accurately detecting and tracking moving objects in a sequence of images, improving the efficiency of image processing tasks.
Benefits
The benefits of this technology include enhanced object tracking, improved accuracy in motion detection, and efficient processing of image data.
Potential Commercial Applications
Potential commercial applications of this technology include security systems, video editing software, and sports analytics tools.
Possible Prior Art
One possible prior art for this technology could be existing image processing algorithms used for object detection and motion tracking in videos.
=== What are the specific technical details of the feature value computation unit in the image processing apparatus? The specific technical details of the feature value computation unit include the algorithm used to calculate the feature values of the detected keypoints, the mathematical formulas involved in the computation, and the processing speed of the unit.
=== How does the search unit determine the threshold for identifying a moving image based on the direction of change in the feature value? The search unit determines the threshold for identifying a moving image by analyzing the magnitude of the change in feature values over time and setting a threshold value that indicates significant movement in the image sequence.
Original Abstract Submitted
the present invention provides an image processing apparatus () including: a query acquisition unit () that acquires a plurality of first frame images in time series; a skeletal structure detection unit () that detects a keypoint of an object included in each of a plurality of the first frame images; a feature value computation unit () that computes a feature value of the detected keypoint for each of the first frame images; a change computation unit () that computes a direction of change in the feature value along a time axis of a plurality of the first frame images in time series; and a search unit () that searches for a moving image by using the computed direction of change in the feature value as a key.
