SpikeMOT: Event-Based Multi-Object Tracking With Sparse Motion Features
In comparison to conventional RGB cameras, the exceptional temporal resolution of event cameras allows them to capture rich information between frames, making them prime candidates for object tracking. Yet in practice, despite their theoretical advantages, the body of work on event-based multi-objec...
Saved in:
Main Authors: | Song Wang, Zhu Wang, Can Li, Xiaojuan Qi, Hayden Kwok-Hay So |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10816637/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
L’Éducation sentimentale, roman des masses
by: Sylvie Triaire
Published: (2018-03-01) -
EventSegNet: Direct Sparse Semantic Segmentation from Event Data
by: Pengju Li, et al.
Published: (2024-12-01) -
Neuromorphic Vision Data Coding: Classifying and Reviewing the Literature
by: Catarina Brites, et al.
Published: (2025-01-01) -
A spiking neural network for active efficient coding
by: Thomas Barbier, et al.
Published: (2025-01-01) -
What's in a Word? Conversion vs Construction
by: Walter Hirtle
Published: (2007-12-01)