Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Multiple Object Tracking Based on Deep LSTM

Not Accessible

Your library or personal account may give you access

Abstract

We propose a multi-object tracking method based on a memory processing module to improve tracking accuracy by saving and aggregating features between multiple frames and enhancing the utilization of inter-frame history information.

© 2022 The Author(s)

PDF Article  |   Presentation Video
More Like This
Scoring based genetic algorithm for wavefront shaping to optimize multiple objectives

Tianhong Wang, Nazifa Rumman, Pascal Bassène, and Moussa N’Gom
JW4A.21 Frontiers in Optics (FiO) 2022

166-m Rolling Shutter Based Free Space Optical Communication (FSO) Utilizing Long Short Term Memory Neural Network (LSTM-NN) for Decoding PAM4 Signal

Deng-Cheng Tsai, Yun-Han Chang, Shang-Yen Tsai, Li-Sheng Hsu, Chi-Wai Chow, Ching-Wei Peng, Yuan-Zeng Lin, Yin-He Jian, Yang Liu, and Chien-Hung Yeh
We3F.3 European Conference and Exhibition on Optical Communication (ECOC) 2022

Generalizable QoT Estimation Based on Spectral Data Driven LSTM in Exact Component Parameter Agnostic Networks

Lars E. Kruse, Sebastian Kühl, and Stephan Pachnicke
Tu5.41 European Conference and Exhibition on Optical Communication (ECOC) 2022

Poster Presentation

Media 1: PDF (1855 KB)     

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Scoring based genetic algorithm for wavefront shaping to optimize multiple objectives

Tianhong Wang, Nazifa Rumman, Pascal Bassène, and Moussa N’Gom
JW4A.21 Frontiers in Optics (FiO) 2022

166-m Rolling Shutter Based Free Space Optical Communication (FSO) Utilizing Long Short Term Memory Neural Network (LSTM-NN) for Decoding PAM4 Signal

Deng-Cheng Tsai, Yun-Han Chang, Shang-Yen Tsai, Li-Sheng Hsu, Chi-Wai Chow, Ching-Wei Peng, Yuan-Zeng Lin, Yin-He Jian, Yang Liu, and Chien-Hung Yeh
We3F.3 European Conference and Exhibition on Optical Communication (ECOC) 2022

Generalizable QoT Estimation Based on Spectral Data Driven LSTM in Exact Component Parameter Agnostic Networks

Lars E. Kruse, Sebastian Kühl, and Stephan Pachnicke
Tu5.41 European Conference and Exhibition on Optical Communication (ECOC) 2022

Object tracking with data under Colored Measurement Noise (CMN)

Eli G. Pale-Ramon, Yuriy S. Shmaliy, Luis J. Morales-Mendoza, Mario González-Lee, Jorge A. Ortega-Contreras, and Karen J. Uribe-Murcia
JW4A.64 Frontiers in Optics (FiO) 2022

Wedge Angle and Direction Detection of Multi-opening Object Using Deep Learning

Yiwen Zhang, Si-Ao Li, Xiaoyan Wang, Haoyuan Xu, Jinyao Wang, Yan-Ge Liu, Weigang Zhang, Zihan Geng, Yongxiong Ren, Changjing Bao, Zhongqi Pan, and Yang Yue
ITu5E.2 Imaging Systems and Applications (IS) 2022

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.