18274102. IMAGE PROCESSING APPARATUS, FEATURE MAP GENERATING APPARATUS, LEARNING MODEL GENERATION APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM simplified abstract (NEC Corporation)
IMAGE PROCESSING APPARATUS, FEATURE MAP GENERATING APPARATUS, LEARNING MODEL GENERATION APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM
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IMAGE PROCESSING APPARATUS, FEATURE MAP GENERATING APPARATUS, LEARNING MODEL GENERATION APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18274102 titled 'IMAGE PROCESSING APPARATUS, FEATURE MAP GENERATING APPARATUS, LEARNING MODEL GENERATION APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM
The abstract of the patent application describes an image processing apparatus that generates feature maps to specify the horizontal and vertical locations of a person in an image. A grouping unit then uses these feature maps along with detected joint locations to group each joint to the corresponding person.
- Feature map generation unit creates first and second feature maps to specify the horizontal and vertical locations of a person in an image.
- Grouping unit utilizes joint locations, first feature map, and second feature map to group joints to the corresponding person.
Potential Applications: - Human pose estimation in images and videos - Gesture recognition in human-computer interaction systems - Activity recognition in surveillance and sports analysis
Problems Solved: - Accurate localization of human joints in images - Efficient grouping of joints to identify individual persons - Enhancing computer vision applications with precise human pose information
Benefits: - Improved accuracy in human pose estimation - Enhanced performance in gesture and activity recognition systems - Increased efficiency in analyzing human movements in various applications
Commercial Applications: Title: Enhanced Human Pose Estimation Technology for Computer Vision Systems This technology can be utilized in industries such as: - Security and surveillance - Sports analytics - Virtual reality and augmented reality development
Questions about the technology: 1. How does this technology improve the accuracy of human pose estimation in images? 2. What are the potential limitations of using feature maps for specifying human locations in images?
Original Abstract Submitted
An image processing apparatus includes a feature map generation unit and a grouping unit. The feature map generation unit generate a first feature map that specifies a horizontal location of the person in an image in a horizontal direction and a second feature map that specifies a vertical location of the person in the image in a vertical direction. The grouping unit uses locations of joints detected in the image in the horizontal direction and vertical direction, the first feature map, and the second feature map, to group each of the joints to a corresponding person.
