Using HTC Vive and TouchDesigner to Projection-Map Moving Objects in 3D Space

<p><strong>Abstract.</strong> With the development of urbanization, the building structures are more and more complex, and various moving objects, such as human beings, robots and unmanned aerial vehicles, often travel through indoor and outdoor 3D space, which puts forward higher requirements for the accurate search and location in indoor and outdoor space. At present, most of the spatial location methods for indoor entities are carried out through 2D maps. However, the indoor environment is a complex 3D space, which increases the difficulty of the search process. In addition, 2D map cannot accurately display the 3D spatial position of the entity. Therefore, it is difficult for 2D maps to search and locate in complex environment. Therefore, how to quickly and effectively carry out spatial location query in complex indoor environment has become an urgent problem to be solved. Taking the library of Beijing University of Civil Engineering and Architecture as an example, this paper obtains the indoor 3D information of the library based on SLAM, processes and publishes the acquired 3D information on IndoorViewer, and uses its API in the book retrieval system. Finally, a book retrieval and location system based on real-scene 3D is finished.</p>

Download Full-text

Robust Semantic Mapping in Challenging Environments

Robotica ◽

10.1017/s0263574719000584 ◽

2019 ◽

Vol 38 (2) ◽

pp. 256-270 ◽

Cited By ~ 1

Author(s):

Jiyu Cheng ◽

Yuxiang Sun ◽

Max Q.-H. Meng

Keyword(s):

Semantic Information ◽

Moving Objects ◽

Dynamic Environments ◽

Semantic Mapping ◽

Visual Slam ◽

The Public ◽

Semantic Map ◽

Recent Success ◽

3D Space ◽

Localization And Mapping

SummaryVisual simultaneous localization and mapping (visual SLAM) has been well developed in recent decades. To facilitate tasks such as path planning and exploration, traditional visual SLAM systems usually provide mobile robots with the geometric map, which overlooks the semantic information. To address this problem, inspired by the recent success of the deep neural network, we combine it with the visual SLAM system to conduct semantic mapping. Both the geometric and semantic information will be projected into the 3D space for generating a 3D semantic map. We also use an optical-flow-based method to deal with the moving objects such that our method is capable of working robustly in dynamic environments. We have performed our experiments in the public TUM dataset and our recorded office dataset. Experimental results demonstrate the feasibility and impressive performance of the proposed method.

Download Full-text

Attentive tracking of moving objects in real 3D space

Vision Research ◽

10.1016/j.visres.2015.02.004 ◽

2015 ◽

Vol 109 ◽

pp. 1-10 ◽

Cited By ~ 7

Author(s):

Anis Ur Rehman ◽

Ken Kihara ◽

Akiko Matsumoto ◽

Sakuichi Ohtsuka

Keyword(s):

Moving Objects ◽

3D Space

Download Full-text

Application of Motion Capture Instruments in Modern Sports

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.378.573 ◽

2013 ◽

Vol 378 ◽

pp. 573-578 ◽

Cited By ~ 2

Author(s):

Qi Luo

Keyword(s):

Motion Capture ◽

Moving Objects ◽

Image Data ◽

High Technology ◽

Motion Capture System ◽

Video Capture ◽

Typical Application ◽

3D Space ◽

Motion Condition ◽

Concept Classification

Motion capture system is a kind of high technology equipment that is used for measuring accurately the motion condition of moving objects in 3D space. Based on the principle of computer graphics (sensor), it record the motion condition of moving objects (tracker) in the form of image through a few video capture device (sensor) arranged in the space, and then make use of computer to deal with the image data, getting space coordinates (X, Y, Z) of unit of different objects (tracker) on different time.The paper elaborates the concept, classification and characteristics of Motion Capture System, and the roles this system played in sports as well as the typical application in sports projects. It is believed that Motion Capture System will be widely applied in the sports fields in order to give better service to the development of sports in our country.

Download Full-text

Research on Motion Capture Instruments in Sports

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.346.151 ◽

2013 ◽

Vol 346 ◽

pp. 151-155

Author(s):

Qi Luo

Keyword(s):

Motion Capture ◽

Moving Objects ◽

High Technology ◽

Scientific Training ◽

3D Space ◽

Motion Condition ◽

Space Motion ◽

Physiological And Biochemical Indexes ◽

Technical Guidance ◽

Physiological And Biochemical

Motion capture Instruments was a kind of high technology equipment that was used for measuring accurately the motion condition of moving objects in 3D space. Motion capture Instruments applied in physical training could help coaches observe and monitor the athletes' techniques from different perspectives, and obtain many motion parameters data of specific technical action and physiological and biochemical indexes data, and then statistic the law of motion, so as to provide standard technical guidance for scientific training. The concept of motion capture, the principle of motion capture, the classification and characteristic of motion capture were introduced in the paper.

Download Full-text

Influence of depth cues on multiple objects tracking in 3D scene

Psihologija ◽

10.2298/psi1004389v ◽

2010 ◽

Vol 43 (4) ◽

pp. 389-409 ◽

Cited By ~ 4

Author(s):

Vesna Vidakovic ◽

Suncica Zdravkovic

Keyword(s):

Object Tracking ◽

Moving Objects ◽

Relative Size ◽

Multiple Object Tracking ◽

Texture Gradient ◽

Depth Cues ◽

3D Space ◽

Tracking Tasks ◽

Multiple Object ◽

3D Scene

Multiple-object-tracking tasks require an observer to track a group of identical objects moving in 2D space. The current study was conducted in an attempt to examine object tracking in 3D space. We were interested in testing influence of classical depth cues (texture gradients, relative size and contrast) on tracking. In Experiment 1 we varied the presence of these depth cues while subjects were tracking four (out of eight) identical, moving objects. Texture gradient, a cue related to scene layout, did not influence object tracking. Experiment 2 was designed to clarify the differences between contrast and relative size effects. Results revealed that contrast was a more effective cue for multiple object tracking in 3D scenes. The effect of occlusion was also examined. Several occluders, presented in the scene, were occasionally masking the targets. Tracking was more successful when occluders were arranged in different depth planes, mimicking more natural conditions. Increasing the number of occlusions led to poorer performance.

Download Full-text

Dynamic Object Path Detection in a Network of Surveillance Cameras

Journal of Computer Science ◽

10.31357/jcs.v1i1.1104 ◽

2013 ◽

Vol 1 (1) ◽

pp. 11-19

Author(s):

H.H. Weerasena ◽

P. B. S. Bandara ◽

J.R.B. Kulasekara ◽

B. M. B. Dassanayake ◽

U. A. A. Niroshika ◽

...

Keyword(s):

Moving Objects ◽

Behavioral Changes ◽

Surveillance Systems ◽

Camera Network ◽

Important Goal ◽

Public And Private ◽

3D Space ◽

Detection And Tracking ◽

Stereo Cameras ◽

Camera Surveillance

Today, automated camera surveillance systems play a major role in securing public and private premises to ensure security and to reduce crime by detecting behavioral changes of moving objects. The important goal of such a surveillance system is to reduce human intervention while at the same time, provide accurate detection of moving objects. Many researchers have attempted to automate different aspects of camera surveillance such as tracking humans, traffic controlling, ground surveillance, etc. However, a system that overcomes overall difficulties that arise in the task of object detection and object tracking has not been developed because of high variance in the problem domain. The proposed system tracks the path of a locked object through a network of cameras. In contrast to traditional methods where the operators have to switch the screens manually to find the target objects, the proposed technique, once locked to an object; automatically tracks it through a camera network and generates the path on a map. We propose to use stereo cameras to enhance the detection and tracking of objects in 3D space.

Download Full-text

Method for reconstructing the real coordinates of an object from its plane image

Information Technology and Nanotechnology ◽

10.18287/1613-0073-2019-2391-153-159 ◽

2019 ◽

pp. 153-159

Author(s):

V N Nesterov ◽

V M Mukhin ◽

D V Nesterov

Keyword(s):

Mathematical Models ◽

Test Object ◽

Moving Objects ◽

Real Space ◽

Original Method ◽

The Real ◽

3D Space ◽

Plane Image ◽

Measurement Equations ◽

Test Objects

Original method of reconstructing the real coordinates of moving objects from their plane images is presented. The method uses multidimensional test objects whose parameters are measures and which are known with high accuracy. In order to ensure the process of measuring movements in real space a test object must be connected with a real object and mathematical models of images of multicomponent movements of a test object must be formed. The parameters of test objects that are used in the named mathematical models are vectors. Such models are used in the construction of systems of measurement equations the solution of which gives the desired components movements of a moving object in 3D space. The method was experimentally tested on specially created stand.

Download Full-text