MEVDT: Multi-modal event-based vehicle detection and tracking datasetDeep Blue Data
In this data article, we introduce the Multi-Modal Event-based Vehicle Detection and Tracking (MEVDT) dataset. This dataset provides a synchronized stream of event data and grayscale images of traffic scenes, captured using the Dynamic and Active-Pixel Vision Sensor (DAVIS) 240c hybrid event-based c...
Saved in:
Main Authors: | Zaid A. El Shair, Samir A. Rawashdeh |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
|
Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924011673 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Object Tracking with the Drone: Systems Analysis
by: Abbas Aqeel Kareem, et al.
Published: (2023-06-01) -
SpikeMOT: Event-Based Multi-Object Tracking With Sparse Motion Features
by: Song Wang, et al.
Published: (2025-01-01) -
Tracking algorithm of Siamese network based on online target classification and adaptive template update
by: Zhiwang CHEN, et al.
Published: (2021-08-01) -
LATrack: Limited Attention for Visual Object Tracking
by: Jian Shi, et al.
Published: (2025-01-01) -
SVDD: SAR Vehicle Dataset Construction and Detection
by: Dan Gao, et al.
Published: (2025-01-01)