Enhancing Voxel-Based Human Pose Classification Using CNN with Modified VGG16 Method-Reference-Cited by-同舟云学术

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Enhancing Voxel-Based Human Pose Classification Using CNN with Modified VGG16 Method

Published:2023-11-17 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Information Technology and Digital Applications (ICITDA)
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Author:

Rahmanti Farah Zakiyah¹,Pradnyana Gede Aditra²,Priyadi Ardyono¹,Yuniarno Eko Mulyanto³,Purnomo Mauridhi Hery³

Affiliation:

1. Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering,Surabaya,Indonesia,60111

2. Universitas Pendidikan Ganesha,Department of Informatics,Bali,Indonesia,81116

3. Institut Teknologi Sepuluh Nopember,Department of Electrical Engineering, Department of Computer Engineering,Surabaya,Indonesia,60111

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10426788/10426842/10427371.pdf?arnumber=10427371

Reference22 articles.

1. Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors

2. A novel multi-view pedestrian detection database for collaborative Intelligent Transportation Systems

3. Spatial information enhancement network for 3D object detection from point cloud

4. FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation

5. 3D MSSD: A multilayer spatial structure 3D object detection network for mobile LiDAR point clouds

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