Objects tracking in virtual reality applications using SteamVR tracking system: selected issues

2019 ◽  
Author(s):  
Marcin Maciejewski ◽  
Marek Piszczek ◽  
Mateusz Pomianek ◽  
Norbert Palka
Keyword(s):  
Virtual Reality ◽  
Tracking System ◽  
Objects Tracking

A Smart Eye Tracking System for Virtual Reality

2019 ◽  
Author(s):  
Bin Li ◽  
Yun Zhang ◽  
Xiujuan Zheng ◽  
Xiaoping Huang ◽  
Sheng Zhang ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Eye Tracking ◽  
Tracking System

Building a Multiple Object Tracking System with Occlusion Handling in Surveillance Videos

2013 ◽  
pp. 1051-1063
Author(s):  
Raed Almomani ◽  
Ming Dong
Keyword(s):  
Kalman Filter ◽  
Tracking System ◽  
Video Tracking ◽  
Appearance Model ◽  
Partial Occlusion ◽  
Security Monitoring ◽  
Robotic Vision ◽  
Objects Tracking ◽  
Full Occlusion ◽  
New Location

Video tracking systems are increasingly used day in and day out in various applications such as surveillance, security, monitoring, and robotic vision. In this chapter, the authors propose a novel multiple objects tracking system in video sequences that deals with occlusion issues. The proposed system is composed of two components: An improved KLT tracker, and a Kalman filter. The improved KLT tracker uses the basic KLT tracker and an appearance model to track objects from one frame to another and deal with partial occlusion. In partial occlusion, the appearance model (e.g., a RGB color histogram) is used to determine an object’s KLT features, and the authors use these features for accurate and robust tracking. In full occlusion, a Kalman filter is used to predict the object’s new location and connect the trajectory parts. The system is evaluated on different videos and compared with a common tracking system.

scholarly journals Virtual Reality Based Multi-Modal Teleoperation Using Mixed Autonomy

2008 ◽  
Author(s):  
Muthukkumar S. Kadavasal ◽  
Abhishek Seth ◽  
James H. Oliver
Keyword(s):  
Virtual Reality ◽  
Stereo Vision ◽  
Vision System ◽  
Tracking System ◽  
A Priori ◽  
Obstacle Detection ◽  
Remotely Operated Vehicle ◽  
Autonomous Operation ◽  
Control Interface ◽  
Video Feed

A multi modal teleoperation interface is introduced featuring an integrated virtual reality based simulation augmented by sensors and image processing capabilities on-board the remotely operated vehicle. The proposed virtual reality interface fuses an existing VR model with live video feed and prediction states, thereby creating a multi modal control interface. Virtual reality addresses the typical limitations of video-based teleoperation caused by signal lag and limited field of view thereby allowing the operator to navigate in a continuous fashion. The vehicle incorporates an on-board computer and a stereo vision system to facilitate obstacle detection. A vehicle adaptation system with a priori risk maps and real state tracking system enables temporary autonomous operation of the vehicle for local navigation around obstacles and automatic re-establishment of the vehicle’s teleoperated state. As both the vehicle and the operator share absolute autonomy in stages, the operation is referred to as mixed autonomous. Finally, the system provides real time update of the virtual environment based on anomalies encountered by the vehicle. The system effectively balances the autonomy between human and on board vehicle intelligence. The stereo vision based obstacle avoidance system is initially implemented on video based teleoperation architecture and experimental results are presented. The VR based multi modal teleoperation interface is expected to be more adaptable and intuitive when compared to other interfaces.

VR-SMART: A Virtual Reality System for Smart Home Environments

2011 ◽  
Author(s):  
Nathan D. Darnall ◽  
Vinay Mishra ◽  
Sankar Jayaram ◽  
Uma Jayaram
Keyword(s):  
Virtual Reality ◽  
Smart Home ◽  
Tracking System ◽  
Virtual Reality System ◽  
Positional Accuracy ◽  
Home Environments ◽  
Smart System ◽  
Head Mounted Display ◽  
Six Dof ◽  
Smart Home Environments

Virtual reality (VR) technologies and systems have the potential to play a key role in assisting disabled inhabitants of smart home environments with instrumental activities of daily living (IADLs). While immersive environments have useful applications in the fields of gaming, simulation, and manufacturing, their capabilities have been largely untapped in smart home environments. We have developed an integrated CAD and virtual reality system which assists a smart home resident in locating and navigating to objects in the home. Using the methods presented in this paper, a room modeled in a CAD system is imported into a virtual environment, which is linked to an audio query-response interface. The user’s head and room objects are fitted with the sensors which are part of a six DOF motion tracking system. Methods have been created to allow the inhabitant to move objects around in the room and then later issue an audio query for the location of the object. The system generates an audio response with the object’s position relative to the person’s current position and orientation. As he approaches the object, information is derived from the virtual models of both the room and the objects within the room to provide better guidance. The ability of the VR-SMART system to guide a resident to an object was tested by mounting a head mounted display (HMD) on a user located in a room. This allowed the user to navigate through the virtual world that simulated the room he occupied, thereby providing a way to test the positional accuracy of the virtual system. Results of the testing in the immersive environment showed that although the overall system shows promise at a 30% success rate, the success of the system depends on the accuracy and calibration of the tracking system. In order to improve the success of the system, we explored the precision of a second motion capture system, with more accurate results. Results confirmed that the VR-SMART system could significantly improve the assistance of disabled people in finding objects easily in the room when implemented only as an assistive system without the head-mounted display.

scholarly journals The Accuracy and Precision of Position and Orientation Tracking in the HTC Vive Virtual Reality System for Scientific Research

i-Perception ◽  
2017 ◽  
Vol 8 (3) ◽  
pp. 204166951770820 ◽  
Author(s):  
Diederick C. Niehorster ◽  
Li Li ◽  
Markus Lappe
Keyword(s):  
Virtual Reality ◽  
Visual Stimulation ◽  
Tracking System ◽  
Ground Plane ◽  
Calibration Procedure ◽  
Large Field ◽  
Head Mounted Display ◽  
Accuracy And Precision ◽  
Time Calibration ◽  
Position And Orientation

The advent of inexpensive consumer virtual reality equipment enables many more researchers to study perception with naturally moving observers. One such system, the HTC Vive, offers a large field-of-view, high-resolution head mounted display together with a room-scale tracking system for less than a thousand U.S. dollars. If the position and orientation tracking of this system is of sufficient accuracy and precision, it could be suitable for much research that is currently done with far more expensive systems. Here we present a quantitative test of the HTC Vive’s position and orientation tracking as well as its end-to-end system latency. We report that while the precision of the Vive’s tracking measurements is high and its system latency (22 ms) is low, its position and orientation measurements are provided in a coordinate system that is tilted with respect to the physical ground plane. Because large changes in offset were found whenever tracking was briefly lost, it cannot be corrected for with a one-time calibration procedure. We conclude that the varying offset between the virtual and the physical tracking space makes the HTC Vive at present unsuitable for scientific experiments that require accurate visual stimulation of self-motion through a virtual world. It may however be suited for other experiments that do not have this requirement.

Simple objects tracking system for smart homes

2015 ◽  
Author(s):  
Frederic Bergeron ◽  
Kevin Bouchard ◽  
Sylvain Giroux ◽  
Sebastien Gaboury ◽  
Bruno Bouchard
Keyword(s):  
Tracking System ◽  
Smart Homes ◽  
Objects Tracking

Accessibility Evaluation in Aircraft Cabin Based on Virtual Reality

2014 ◽  
Vol 651-653 ◽  
pp. 1511-1514 ◽  
Author(s):  
Xian Li ◽  
Hu Liu
Keyword(s):  
Virtual Reality ◽  
Virtual Environment ◽  
Evaluation System ◽  
Tracking System ◽  
Rapid Development ◽  
New Method ◽  
Air Transport ◽  
Aircraft Cabin ◽  
Air Transport Industry ◽  
Accessibility Evaluation

With the rapid development of the air transport industry, more attention is paid to interior ergonomics analysis which directly affects the time and cost spent during design. To provide a quick and human-in-loop accessibility way to evaluate accessibility in aircraft cabin, a new method based on virtual reality is proposed. In this method, the digital mock-up model is converted to other format which is need to build a virtual environment first, then virtual environment is built and a virtual hand is driven through tracking hand’s position by A.R.T(Advanced Realtime Tracking ) system to carry on accessibility evaluation in the virtual environment. Based on above-mentioned method the aircraft cabin accessibility evaluation system is designed and realized, which is verified by one case of a certain aircraft cabin. The result shows this method is simple and useful, offering a new way for accessibility evaluation in aircraft cabin.

scholarly journals Identification of most influential factors in a Virtual Reality tracking system using hybrid method

ACTA IMEKO ◽  
2014 ◽  
Vol 2 (2) ◽  
pp. 20
Author(s):  
Fabien Ezedine ◽  
Jean-Marc Linares ◽  
Wan Mansor Wan Muhamad ◽  
Jean-Michel Sprauel
Keyword(s):  
Virtual Reality ◽  
Hybrid Method ◽  
Tracking System ◽  
Influential Factors ◽  
Tracking Accuracy ◽  
Camera System ◽  
The Monte Carlo Method ◽  
Total Knee ◽  
Knee Arthroplasty Surgery ◽  
Arthroplasty Surgery

This paper studies the factors that influence the accuracy of Virtual Reality (VR) systems, in particular for applications in a Cave Automatic Virtual Environment (CAVE). The CAVE can be used to train surgeon students. For this purpose, an application for a total knee arthroplasty surgery is investigated. To meet the requirements for a high quality training, the accuracy of the tracking system in the CAVE has to be improved. First, a complete model of the tracking system is created based on the extrinsic and intrinsic parameters of the eight-camera system. With this mode l, the uncertainty of the tracking system is determined for one location in the CAVE. Next, a hybrid method, comprising the Monte Carlo Method and Design Of Experiment, is used to find the most important factors influencing the tracking accuracy in the CAVE.

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