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Detection of Taekwondo Kicks Using RGB-D Sensors

Proceedings of the 2019 3rd International Conference on Software and e-Business, 2019
Sports have been invested with so many resources to be competitive and entertaining and to have injury prevention and analysis or improvement of the athlete's performance. In Human Action Recognition, there is a limited study on sports. Sports moves are faster in execution and have low inter class variability which produces noisy feature and ambiguity ...
Joel C. de Goma   +3 more
openaire   +2 more sources

Calibration of RGB-D Sensors for Robot SLAM

Applied Mechanics and Materials, 2013
This paper presents a calibration procedure for a Kinect RGB-D sensor and its application to robot simultaneous localization and mapping(SLAM). The calibration procedure consists of two stages: in the first stage, the RGB image is aligned with the depth image by using the bilinear interpolation.
Chen Tung Chi   +2 more
openaire   +1 more source

RGB-D Sensors Calibration for Service Robots SLAM

2015
One of the major research directions in robotic vision focuses on SLAM using RGB-D sensors. The information can be used for decision making of robots and other areas that require precise position as a feature. This paper presents a novel algorithm to calibrate the RGB-D sensors for service robots SLAM.
Yue Sun, Jingtai Liu, Lei Sun 0001
openaire   +1 more source

Robust RGB-D face recognition using Kinect sensor

Neurocomputing, 2016
In this paper we propose a robust face recognition algorithm for low resolution RGB-D Kinect data. Many techniques are proposed for image preprocessing due to the noisy depth data. First, facial symmetry is exploited based on the 3D point cloud to obtain a canonical frontal view image irrespective of the initial pose and then depth data is converted to
Billy Y. L. Li   +4 more
openaire   +2 more sources

Fast Depth Video Compression for Mobile RGB-D Sensors

IEEE Transactions on Circuits and Systems for Video Technology, 2016
We propose a new method, called 3-D image warping-based depth video compression (IW-DVC), for fast and efficient compression of depth images captured by mobile RGB-D sensors. The emergence of low-cost RGB-D sensors has created opportunities to find new solutions for a number of computer vision and networked robotics problems, such as 3-D map building ...
Xiaoqin Wang   +5 more
openaire   +2 more sources

Human pose estimation using two RGB-D sensors

2016 IEEE International Conference on Image Processing (ICIP), 2016
Accurate human pose estimation plays an important role in various applications such as sports analysis, health care and gaming. Even though recent approaches have shown that 3D positions of body joints can be estimated from a single depth sensor, the depth data often suffer from sensing noise and self-occlusion.
Wanxin Xu   +2 more
openaire   +1 more source

Multi-Object Tracking based on RGB-D Sensors

Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks, 2023
Keliang Zhu   +5 more
openaire   +1 more source

Cooperative localization and mapping of MAVs using RGB-D sensors

2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
The fusion of IMU and RGB-D sensors presents an interesting combination of information to achieve autonomous localization and mapping using robotic platforms such as ground robots and flying vehicles. In this paper, we present a software framework for cooperative localization and mapping while simultaneously using multiple aerial platforms. We employ a
Giuseppe Loianno   +2 more
openaire   +2 more sources

RGB-D Sensors Extrinsic Calibration In Controlled Environment

2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021
Krasimir Tonchev   +3 more
openaire   +1 more source

Sensor Evaluation for Voxel-Based RGB-D SLAM

2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ), 2021
Joshua Clarke, Steven Mills
openaire   +2 more sources

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