Object detection in motion management scenarios based on deep learning.
In athletes' competitions and daily training, in order to further strengthen the athletes' sports level, it is usually necessary to analyze the athletes' sports actions at a specific moment, in which it is especially important to quickly and accurately identify the categories and posi...
Saved in:
Main Authors: | Baocheng Pei, Yanan Sun, Yebiao Fu, Ting Ren |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0315130 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Object detection in motion management scenarios based on deep learning
by: Baocheng Pei, et al.
Published: (2025-01-01) -
RGB-T Object Detection With Failure Scenarios
by: Qingwang Wang, et al.
Published: (2025-01-01) -
Pedestrian Motion Path Detection Method Based on Deep Learning and Foreground Detection
by: Meiman Li, et al.
Published: (2021-01-01) -
CGDINet: A Deep Learning-Based Salient Object Detection Algorithm
by: Chengyu Hu, et al.
Published: (2025-01-01) -
A survey of image object detection algorithm based on deep learning
by: Tingting ZHANG, et al.
Published: (2020-07-01)