Measurement Noise Model for Depth Camera-Based People Tracking
Depth cameras are widely used in people tracking applications. They typically suffer from significant range measurement noise, which causes uncertainty in the detections made of the people. The data fusion, state estimation and data association tasks require that the measurement uncertainty is model...
Main Authors: | Otto Korkalo, Tapio Takala |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/13/4488 |
Similar Items
-
What Can We Learn from Depth Camera Sensor Noise?
by: Azmi Haider, et al.
Published: (2022-07-01) -
Multi-Camera People Tracking With Spatio-Temporal and Group Considerations
by: Shoki Sakaguchi, et al.
Published: (2024-01-01) -
Dense tracking, mapping and scene labeling using a depth camera
by: Andrés Alejandro Díaz-Toro, et al.
Published: (2018-03-01) -
Detecting, Tracking and Counting People Getting On/Off a Metropolitan Train Using a Standard Video Camera
by: Sergio A. Velastin, et al.
Published: (2020-11-01) -
Vehicle Detection and Tracking Using Thermal Cameras in Adverse Visibility Conditions
by: Abhay Singh Bhadoriya, et al.
Published: (2022-06-01)