Three-Dimensional Object Motion and Velocity Estimation Using a Single Computational RGB-D Camera

被引：4

作者：

Lee, Seungwon ^{[1
]}

Jeong, Kyungwon ^{[1
]}

Park, Jinho ^{[1
]}

Paik, Joonki ^{[1
]}

机构：

[1] Chung Ang Univ, Image Proc & Intelligent Syst Lab, Grad Sch Adv Imaging Sci Multimedia & Film, Seoul 156756, South Korea

来源：

SENSORS | 2015年 / 15卷 / 01期

基金：

新加坡国家研究基金会;

关键词：

object tracking; depth estimation; computational camera; image registration; 3D image acquisition; COLOR; TRACKING; FILTER;

D O I：

10.3390/s150100995

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

In this paper, a three-dimensional (3D) object moving direction and velocity estimation method is presented using a dual off-axis color-filtered aperture (DCA)-based computational camera. Conventional object tracking methods provided only two-dimensional (2D) states of an object in the image for the target representation. The proposed method estimates depth information in the object region from a single DCA camera that transforms 2D spatial information into 3D model parameters of the object. We also present a calibration method of the DCA camera to estimate the entire set of camera parameters for a practical implementation. Experimental results show that the proposed DCA-based color and depth (RGB-D) camera can calculate the 3D object moving direction and velocity of a randomly moving object in a single-camera framework.

引用

页码：995 / 1007

页数：13

共 50 条

[1] Robust and Efficient Velocity Estimation for MAVs With an RGB-D Camera
Ji, Tete
Xie, Lihua
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (04) : 8917 - 8924
[2] Automatic Three-Dimensional Ultrasound Scanning System Based on RGB-D Camera
Lan, JiuLong
Huang, Qinghua
2018 2ND INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES (ICRAS), 2018, : 1 - 6
[3] Egomotion Estimation Under Planar Motion with an RGB-D Camera
Mu, Xuelan
Hou, Zhixin
Zhang, Yigong
INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING: VISUAL DATA ENGINEERING, PT I, 2019, 11935 : 68 - 79
[4] Three-Dimensional Reconstruction Method of Rapeseed Plants in the Whole Growth Period Using RGB-D Camera
Teng, Xiaowen
Zhou, Guangsheng
Wu, Yuxuan
Huang, Chenglong
Dong, Wanjing
Xu, Shengyong
SENSORS, 2021, 21 (14)
[5] Three-dimensional Estimation of User's Field of View Using Multiple RGB-D Cameras
Imai, Jun-ichi
Tamegai, Mitsunobu
2013 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE), 2013, : 2347 - 2352
[6] Single View-Based Pose Estimation of Unknown Circular Object With RGB-D Camera
Li, Zhaoxi
Meng, Cai
Li, Dingzhe
Liu, Limin
Yuan, Weimin
Huang, Zeweng
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2024, 60 (04) : 3954 - 3966
[7] Automatic Object Searching by a Mobile Robot with Single RGB-D Camera
Shim, Vui Ann
Yuan, Miaolong
Tan, Boon Hwa
2017 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC 2017), 2017, : 56 - 62
[8] Fast Motion Object Detection Algorithm Using Complementary Depth Image on an RGB-D Camera
Sun, Chi-Chia
Wang, Yi-Hua
Sheu, Ming-Hwa
IEEE SENSORS JOURNAL, 2017, 17 (17) : 5728 - 5734
[9] 6-DoF Velocity Estimation Using RGB-D Camera Based on Optical Flow
Kim, Pyojin
Lim, Hyon
Kim, H. Jin
2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2014, : 4008 - 4013
[10] RGB-D Camera based 3D Object Pose Estimation and Grasping
Liang, Xiaoxiao
Cheng, Hongtai
2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019), 2019, : 1279 - 1284

← 1 2 3 4 5 →