By Aleksander Nawrat, Karol Jędrasiak

This monograph presents accomplished directions at the present and destiny tendencies of leading edge simulation platforms. particularly, their vital parts, equivalent to augmented fact and unmanned cars are provided. The ebook includes 3 components. each one half provides solid practices, new tools, techniques of platforms and new algorithms. awarded demanding situations and ideas are the result of examine and carried out by way of the contributing authors.

The booklet describes and evaluates the present country of information within the box of cutting edge simulation platforms. during the chapters there are awarded present matters and ideas of structures, expertise, gear, instruments, study demanding situations and present, previous and destiny functions of simulation platforms. The booklet is addressed to a large viewers: educational employees, representatives of analysis associations, staff of businesses and govt businesses in addition to scholars and graduates of technical universities within the state and in another country. The booklet could be a necessary resource of data for constructors and builders of cutting edge simulation structures and their parts. Scientists and researchers fascinated by mechanics, keep watch over algorithms, photo processing, machine imaginative and prescient or information fusion can locate many priceless feedback and solutions.

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ISBN: 978-3-319-00368-9 25. : Gyro-stabilized platform for multispectral image acquisition, vision based systems for UAV applications. Stud. Comput. Intell. 481, 115–121 (2013). ISBN: 978-3-319-00368-9 26. : Prototyp bezzalogowego pojazdu podwodnego—uklad stabilizacji i utrzymania zadanego kursu. Przeglad Elektrotechniczny 89, 205–217 (2013) 27. : Prototyp bezzalogowego pojazdu podwodnego—konstrukcja mechaniczna, panel operatora. Przeglad Elektrotechniczny 89, 52–67 (2013) 28. : SETh system spatio-temporal object tracking using combined color and motion features.

Stud. Comput. Intell. 481, 3–25 (2013). ISBN: 978-3-319-00368-9 46 Z. Kuś and A. Nawrat 4. : SETh: the method for long-term object tracking. In: Computer Vision and Graphics. Lecture Notes in Computer Science, vol. 8671, pp. 302– 315 (2014) 5. : Detection and tracking of very small low contrast objects. In: Proceedings of the 9th British Machine Vision Conference, Sept 1998 6. : Automatic target tracking for video annotation. Opt. Eng. 43, 1867– 1873 (2004) 7. : Improving resolution by image registration.

8 and 9, we can observe that the system has correctly recognised all objects. Fig. 9 The location of the objects in the image in coordinate system which correspond to the coordinate system in Fig. 10 The Method of Developing the Invariant Functions Vector … 45 Fig. 10 The areas of the image where the values of q`a0 (red), q`b0 (green), q`c0 (blue) and q`d0 (black) are lowest 5 Conclusions This study has focused on utilising moment invariants for object recognition in grey scale images without thresholding which is often used to obtain black and white images.

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