Development and Application of the Stereo Vision Tracking System with Virtual Reality

doi:10.1155/2015/545498

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Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/29571

Title:	Development and Application of the Stereo Vision Tracking System with Virtual Reality
Authors:	Wang, Chia-Sui Chen, Ko-Chun Lee, Tsung Han Hsu, Kuei-Shu
Contributors:	資訊管理系應用空間資訊系
Keywords:	Object tracking Segmentation Sequences
Date:	2015
Issue Date:	2016-04-19 19:00:39 (UTC+8)
Publisher:	Hindawi Publishing Corporation
Abstract:	A virtual reality (VR) driver tracking verification system is created, of which the application to stereo image tracking and positioning accuracy is researched in depth. In the research, the feature that the stereo vision system has image depth is utilized to improve the error rate of image tracking and image measurement. In a VR scenario, the function collecting behavioral data of driver was tested. By means of VR, racing operation is simulated and environmental (special weathers such as raining and snowing) and artificial (such as sudden crossing road by pedestrians, appearing of vehicles from dead angles, roadblock) variables are added as the base for system implementation. In addition, the implementation is performed with human factors engineered according to sudden conditions that may happen easily in driving. From experimental results, it proves that the stereo vision system created by the research has an image depth recognition error rate within 0.011%. The image tracking error rate may be smaller than 2.5%. In the research, the image recognition function of stereo vision is utilized to accomplish the data collection of driver tracking detection. In addition, the environmental conditions of different simulated real scenarios may also be created through VR.
Relation:	Mathematical Problems In Engineering, v.2015, Article ID 545498
Appears in Collections:	[Dept. of Applied Geoinformatics] Periodical Articles [Dept. of Information Management] Periodical Articles

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