A Study of Chained Stochastic Tracking in RGB and Depth Sensing
This paper studies the notion of hierarchical (chained) structure of stochastic tracking of marked feature points while a person is moving in the field of view of a RGB and depth sensor. The objective is to explore how the information between the two sensing modalities (namely, RGB sensing and depth...
Saved in:
Main Authors: | Xuhong Liu, Shahram Payandeh |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/2605735 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fusing Depth and Silhouette for Scanning Transparent Object with RGB-D Sensor
by: Yijun Ji, et al.
Published: (2017-01-01) -
A Structured Light RGB-D Camera System for Accurate Depth Measurement
by: Van Luan Tran, et al.
Published: (2018-01-01) -
Multimodal Deep Feature Fusion (MMDFF) for RGB-D Tracking
by: Ming-xin Jiang, et al.
Published: (2018-01-01) -
The effect of depth data and upper limb impairment on lightweight monocular RGB human pose estimation models
by: Gloria-Edith Boudreault-Morales, et al.
Published: (2025-02-01) -
High-Fidelity Depth Map Reconstruction System With RGB-Guided Super Resolution CNN and Cross-Calibrated Chaos LiDAR
by: Yu-Chun Ding, et al.
Published: (2025-01-01)