Abstract
Laser Point Tracking (LPT) is algorithm dedicated to rapidly moving laser-generated blob. By usage of few features: brightness, area and velocity, it is able track blurred and dark trail of laser. Further research were made to overcome problems, which occur while tracking two lasers simultaneously. The acquired results are promising. The presented algorithm for tracking multiple laser points might be applied to various multimedia presentation systems e.g. gimbal camera guidance during lectures or laser shooting ranges. The presented algorithm was compared against three state-of-the art object trackers using real-life test sequences. Only LPT tracker succeeded in the task. State-of-the art general purpose trackers were able to track the target for less than 10 % of the sequence. Due to the significant improvement of tracking quality it was possible to apply the algorithm and create the professional laser shooting range characterized by outstanding quality.
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References
Bibik, P., Zasuwa, M., Zugaj, M.: Research and training simulator of unmanned quad rotor. In: 18th IEEE International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 403–407 (2013)
Babiarz, A., Jaskot, K., Koralewicz, P.: The control system for autonomous mobile platform. In: Advanced Technologies for Intelligent Systems of National Border Security, Studies in Computational Intelligence, vol. 440, pp. 15–28 (2013)
Bereska, D., Balcewicz, R., Garczyński, M.: Implementacja magistrali CAN i protokołu CANopen w robocie edukacyjnym. Szybkobieżne Pojazdy Gąsienicowe 1, 157–162 (2008)
Niezgoda, T., Panowicz, R., Sybilski, K., Barnat, W.: Numerical analysis of missile impact being shot by rocket propelled grenades with rod armour. WIT Trans. Model. Simul. 51, 625–633 (2011)
Kuś, Z., Nawrat, A.M.: The limitation for the angular velocity of the camera head during object tracking with the use of the UAV. In: Innovative Control Systems for Tracked Vehicle Platforms, Studies in Systems, Decisions and Control, vol. 2, pp. 127–145 (2014)
Babiarz, A., Bieda, R., Jaskot, K.: A distributed control group of mobile robots in a limited area with a vision system. In: Vision Based Systems for UAV Applications, Studies in Computational Intelligence, vol. 481, pp. 157–175 (2013). ISBN: 978-3-319-00368-9
Oron, S., Bar-Hillel, A., Levi, D., Avidan, S.: Locally orderless tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2012)
Nawrat, A., Jedrasiak, K.: SETh system spatio-temporal object tracking using combined color and motion features. In: 9th WSEAS International Conference on Robotics, Control and Manufacturing Technology, Hangzhou, China (2009)
Jedrasiak, K., Nawrat, A., Daniec, K., Koteras, R., Mikulski, M., Grzejszczak, T.: A prototype device for concealed weapon detection using IR and CMOS cameras fast image fusion. In: Computer Vision and Graphics, vol. 7594, pp. 423–432. Lecture Notes in Computer Science, Springer, Berlin (2013)
Gałuszka, A., Skrzypczyk, K., Bereska, D., Pacholczyk, M.: Re-handling operations in small container terminal operated by reach stackers. World Acad. Sci. Eng. Technol. 70, 674–677 (2010)
Czapla, T., Wrona, J.: Technology development of military applications of unmanned ground vehicles. In: Vision Based Systems for UAV Applications, Studies in Computational Intelligence, vol. 481, pp. 293–309 (2013). ISBN: 978-3-319-00368-9
Yilmaz, A., Javed, O., Shah, M.: Object tracking: a survey. ACM Comput. Surveys (CSUR) 38(4), 13 (2006)
Jedrasiak, K., Nawrat, A.: Image recognition technique for unmanned aerial vehicles. In: Computer Vision and Graphics, vol. 5337, pp. 391–399. Lecture Notes in Computer Science, Springer, Berlin (2009)
Yang, H., Shao, L., Zheng, F., Wang, L., Song, Z.: Recent advances and trends in visual tracking. Rev. Neurocomput. 74(18), 3823–3831 (2011)
Adam, A., Rivlin, E., Shimshoni, I.: Robust fragments-based tracking using the integral histogram. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 798–805, 17–22 June 2006
Kwon, J., Lee, K.M.: Visual tracking decomposition. In: Computer Vision and Pattern Recognition (CVPR) (2010)
Kuś, Z., Nawrat, A.: Object tracking for rapid camera movements in 3D space. In: Vision Based Systems for UAV Applications, Studies in Computational Intelligence, vol. 481, pp. 5–76 (2013). ISBN: 978-3-319-00368-9
Kuś, Z., Nawrat, A.: Object tracking in a picture during rapid camera movements. In: Vision Based Systems for UAV Applications, Studies in Computational Intelligence, vol. 481, pp. 77–91 (2013). ISBN: 978-3-319-00368-9
Jedrasiak, K., Andrzejczak, M., Nawrat, A.: SETh: the method for long-term object tracking. In: Computer Vision and Graphics, vol. 8671, pp. 302–315. Lecture Notes in Computer Science (2014)
Iwaneczko, P., Jedrasiak, K., Daniec, K., Nawrat, A.: A prototype of unmanned aerial vehicle for image acquisition. In: Computer Vision and Graphics, vol. 7594, pp. 87–94. Lecture Notes in Computer Science, Springer, Berlin (2013)
Demski, P., Grzejszczak, T., Jędrasiak, K., Mikulski, M.: Automatic targeting sentry turret for distributed systems. In: Vision Based Systems for UAV Applications, Studies in Computational Intelligence, vol. 481, pp. 47–55 (2013). ISBN: 978-3-319-00368-9
Jędrasiak, K., Bereska, D., Nawrat, A.: The prototype of gyro-stabilized UAV gimbal for day-night surveillance. In: Advanced Technologies for Intelligent Systems of National Border Security, Studies in Computational Intelligence, vol. 440, pp. 107–115 (2013)
Bereska, D., Daniec, K., Fraś, S., Jędrasiak, K., Malinowski, M., Nawrat, A.: System for multi-axial mechanical stabilization of digital camera. In: Vision Based Systems for UAV Applications, Studies in Computational Intelligence, vol. 481, pp. 117–189 (2013). ISBN: 978-3-319-00368-9
Portes de Albuquerquea, M., Esquef, I.A., Gesualdi Mello, A.R., Portes de Albuquer-que, M.: Image thresholding using Tsallis entropy. Pattern Recogn. Lett. 25(9), 1059–1065 (2004)
Switonski, A., Josinski, H., Jedrasiak, K., Polanski, A., Wojciechowski, K.: Classification of poses and movement phases. In: Computer Vision and Graphics, vol. 6374, pp. 193–200. Lecture Notes in Computer Science, Springer, Berlin (2010)
Acknowledgement
This work has been supported by Applied Research Programme of the National Centre for Research and Development as a project ID 178438 path A—Costume for acquisition of human movement based on IMU sensors with collection, visualization and data analysis software.
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Ryt, A., Sobel, D., Kwiatkowski, J., Domżał, M., Jędrasiak, K., Nawrat, A. (2016). Real-Time Multiple Laser Points Tracking. In: Nawrat, A., Jędrasiak, K. (eds) Innovative Simulation Systems. Studies in Systems, Decision and Control, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-319-21118-3_11
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