Object tracking on event cameras with offline–online learning

Object tracking on event cameras with offline–online learning

Compared with conventional image sensors, event cameras have been attracting attention thanks to their potential in environments under fast motion and high dynamic range (HDR). To tackle the lost-track issue due to fast illumination changes under HDR scene such as tunnels, an object tracking framewo...

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Bibliographic Details
Main Authors: Rui Jiang, Xiaozheng Mou, Shunshun Shi, Yueyin Zhou, Qinyi Wang, Meng Dong, Shoushun Chen
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
object tracking
image sensors
image motion analysis
kalman filters
video signal processing
object detection
cameras
sensor fusion
learning (artificial intelligence)
tracking
event camera
offline–online
conventional image sensors
fast motion
self-collected event data
real-time tracking
fusion scheme
track maintenance
initialised object
detector benefits
online-trained tracker
offline-trained detector
event count images
object tracking framework
hdr scene
fast illumination changes
lost-track issue
high dynamic range
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0107

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https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0107

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