Spatial Object Tracking System Based on Linear Optical Sensor Arrays

This paper presents a low-cost novel motion tracking system using linear optical sensor arrays supplemented by a 9DOF inertial measurement unit. Each pair of the linear sensor modules is capable of tracking the 2D location of an active infrared LED light source (marker). The presented tracking system combines two of these modules to realize spatial position tracking of the LED light source. The proposed system efficiently amalgamates inertial data with optical tracking estimates to extract attitude, minimize power requirement, and improve positional accuracy. The tracking system enables high-speed, high-accuracy, and low-cost position and attitude tracking for a wide range of applications. The detailed hardware design and performance evaluation experiments of this approach are also reported. The performance of the proposed tracking system was evaluated by measuring the tracking error with respect to known trajectories of the LED light source from different distances.

[1]  Christine Julien,et al.  Comparative evaluation of Received Signal-Strength Index (RSSI) based indoor localization techniques for construction jobsites , 2011, Adv. Eng. Informatics.

[2]  J.-C. Burie,et al.  Enhancement of the road safety with a stereo vision system based on linear cameras , 1996, Proceedings of Conference on Intelligent Vehicles.

[3]  Shuang Song,et al.  An Improved Magnetic Tracking Method Using Rotating Uniaxial Coil With Sparse Points and Closed Form Analytic Solution , 2014, IEEE Sensors Journal.

[4]  Jannick P. Rolland,et al.  A Survey of Tracking Technologies for Virtual Environments , 2001 .

[5]  Jian Wu,et al.  Linear CCD Based Optical Tracking Using Stereo Correspondence Algorithm , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

[6]  Abhishek Kasturi,et al.  Real‐time 3D Tracking , 2013 .

[7]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[8]  Jing Liu,et al.  Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[9]  Ramesh Raskar,et al.  Bokode: imperceptible visual tags for camera based interaction from a distance , 2009, ACM Trans. Graph..

[10]  Paul H. Chappell,et al.  Validation and Application of a Computational Model for Wrist and Hand Movements Using Surface Markers , 2008, IEEE Transactions on Biomedical Engineering.

[11]  H. Woltring,et al.  New possibilities for human motion studies by real-time light spot position measurement. , 1974, Biotelemetry.

[12]  Andrea Sanna,et al.  A 6-DOF ARTag-based tracking system , 2010, IEEE Transactions on Consumer Electronics.

[13]  Y. Ruichek.  A hierarchical neural stereo matching approach for real-time obstacle detection using linear cameras , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[14]  Xiaoping Yun,et al.  Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking , 2006, IEEE Trans. Robotics.

[15]  Zheyao Wang,et al.  Motion Measurement Using Inertial Sensors, Ultrasonic Sensors, and Magnetometers With Extended Kalman Filter for Data Fusion , 2012, IEEE Sensors Journal.

[16]  Woltring Hj,et al.  New possibilities for human motion studies by real-time light spot position measurement. , 1974 .

[17]  Rui Zhang,et al.  Inertial Sensor Based Indoor Localization and Monitoring System for Emergency Responders , 2013, IEEE Sensors Journal.

[18]  Ivan Poupyrev,et al.  Lumitrack: low cost, high precision, high speed tracking with projected m-sequences , 2013, UIST.

[19]  Zhuxin Dong,et al.  An Optical-Tracking Calibration Method for MEMS-Based Digital Writing Instrument , 2010, IEEE Sensors Journal.

[20]  Imrich Chlamtac,et al.  Indoor location tracking using RSSI readings from a single Wi-Fi access point , 2007, Wirel. Networks.

[21]  R. Sec.,et al.  X. On pin-hole photography , 1891 .

[22]  Greg Welch,et al.  Motion Tracking: No Silver Bullet, but a Respectable Arsenal , 2002, IEEE Computer Graphics and Applications.

[23]  Mao Li,et al.  A Cubic 3-Axis Magnetic Sensor Array for Wirelessly Tracking Magnet Position and Orientation , 2010, IEEE Sensors Journal.

[24]  Yin Guo,et al.  Precise calibration of linear camera equipped with cylindrical lenses using a radial basis function-based mapping technique. , 2015, Optics express.

[25]  Alexei A. Goon,et al.  A SURVEY OF TRACKING TECHNOLOGY FOR VIRTUAL ENVIRONMENTS , 1999 .

[26]  P. Schönle,et al.  Electromagnetic articulography: Use of alternating magnetic fields for tracking movements of multiple points inside and outside the vocal tract , 1987, Brain and Language.

[27]  Mircea Nicolescu,et al.  Vision-based hand pose estimation: A review , 2007, Comput. Vis. Image Underst..

[28]  Ryo Kurazume,et al.  Position tracking system of everyday objects in an everyday environment , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[29]  Ignas Niemegeers,et al.  A survey of indoor positioning systems for wireless personal networks , 2009, IEEE Communications Surveys & Tutorials.