Head Pose Feature for Prediction Pedestrian Intention to Crossing the Road Using LSTM-Reference-Cited by-同舟云学术

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Head Pose Feature for Prediction Pedestrian Intention to Crossing the Road Using LSTM

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)
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Author:

Sidharta Hanugra Aulia¹,Ilham Perdana Muhammad²,Mulyanto Yuniarno Eko¹,Al Kindhi Berlian³,Hery Purnomo Mauridhi⁴

Affiliation:

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

2. Universitas Muhammadiyah Malang,Department of Informatics,Malang,Indonesia

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10322307/10322308/10322431.pdf?arnumber=10322431

Reference21 articles.

1. Geometric Algebra Representation and Ensemble Action Classification Method for 3D Skeleton Orientation Data

2. Human posture recognition based on multiple features and rule learning

3. Context-Aware CNNs for Person Head Detection

4. Global Temporal Attention Optimization for Human Trajectory Prediction

5. Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior

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