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About Real Time Human Body Posture Analysis Using Deep Learning
We present a novel approach for accurately estimating the pose of objects in a low-cost and resource-efficient manner, making it suitable for deployment on embedded systems. Our algorithm comprises of two primary stages: object detection and spatial reconstruction. In the first stage, we employ a Convolutional Neural Network (CNN) called PoseNet for object detection. This approach has proven to be effective in detecting and localizing objects in an image. Next, utilizing stereo correspondences,
Detailed Information
| Author: | ['IJRASETPublications'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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