Time-Sensitive 3D Single Target Tracking Based on Deep Hough Optimized Voting
Aiming at the problem of time-sensitive single target tracking in 3D point cloud, a deep learning algorithm based on deep Hough optimized voting is proposed. Firstly, the algorithm uses PointNet++ network to calculate seed points and extract geometric features from template point cloud and search po...
Main Author: | Yang Xi, Lei Hang, Qian Weizhong, Zeng Yifang, Wang Xupeng |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Aero Weaponry
2022-04-01
|
Series: | Hangkong bingqi |
Subjects: | |
Online Access: | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1651218196909-1540438522.pdf |
Similar Items
-
Detection of Multiple Maneuvering Extended Targets by Three-Dimensional Hough Transform and Multiple Hypothesis Tracking
by: Bo Yan, et al.
Published: (2019-01-01) -
A Three-Dimensional Hough Transform-Based Track-Before-Detect Technique for Detecting Extended Targets in Strong Clutter Backgrounds
by: Bo Yan, et al.
Published: (2019-02-01) -
An End-to-End Deep Learning Network for 3D Object Detection From RGB-D Data Based on Hough Voting
by: Ming Yan, et al.
Published: (2020-01-01) -
Detection and Tracking of Weak Exoatmospheric Target with Elliptical Hough Transform
by: Bin Rao, et al.
Published: (2022-01-01) -
Track Initiation Based on Parallel Hough Transform
by: Lu Chuan-guo, et al.
Published: (2013-09-01)