Home /Archive /2016, Volume 12 /12(2) /Video Processing Device for Automatic Object Tracking Defined in the Image by Operator

Video Processing Device for Automatic Object Tracking Defined in the Image by Operator

TitleVideo Processing Device for Automatic Object Tracking Defined in the Image by Operator
Publication TypeJournal Article
Year of Publication2016
AuthorsBoyun, VP, Sabelnikov, PYu., Sabelnikov, Yu.A
Short TitleNauka innov.
DOI10.15407/scin12.02.029
Volume12
Issue2
SectionScientific and Technical Innovative Projects of National Academy of Sciences of Ukraine
Pagination29-39
LanguageUkrainian
Abstract
Results of the research project «Developing video processing device for automatic object tracking defined in the image by operator» (code VC 200.18.14) are presented. The functions the device should fulfil and requirements to it are analyzed. Algorithms, software and hardware for automatic tracking of the object specified in the image by the operator are developed.
Keywordsfiltration, image, object comparing, object tracking, real-time systems
References

1. Bojun V.P., Sabel'nikov P.Ju., Sabel'nikov Ju.A. Algo rytmy analizu televizijnyh i teplovizijnyh zobrazhen' u videoprystrojah ta systemah specpryznachennja. Nauka innov. 2014. 10(6): 19-25 [in Ukrainian].
2. Müller M., Röder T. Motion templates for automatic classification and retrieval of motion capture data. In Proc. ACM SIGGRAPH Symposium on Computer Ani mation (SCA). Vienna, Austria, 2006: 137-146.
3. Comaniciu D., Meer P. Mean Shift: A Robust Approach Toward Feature Space Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2002. 24(5): 603-619. https://doi.org/10.1109/34.1000236
4. Wang Z., Yang X., Xu Y., Yu S. CamShift guided particle filter for visual tracking. Pattern Recognition Letters (PRL). 2009. 30(4): 407-413. https://doi.org/10.1016/j.patrec.2008.10.017
5. Baker S., Matthews I. Lucas-Kanade 20 Years On: A Unifying Framework. International Journal of Computer Vision (IJCV). 2004. 56(3): 221-255. https://doi.org/10.1023/B:VISI.0000011205.11775.fd
6. Alfimcev A.N., Lychkov I.I. Metod obnaruzhenija obekta v videopotoke v real'nom vremeni. Vestnik Tambovskogo gosudarstvennogo tehnicheskogo universiteta. 2011. 17(1): 44-55 [in Russian].
7. Kasinski A., Schmidt A. The architecture and per forman ce of the face and eyes detection system based on the Haar cascade classifiers. Pattern Analysis and Ap plications (PAA). 2010. 13(2): 197-211. https://doi.org/10.1007/s10044-009-0150-5
8. Sabelnikov P.Y. Algorithm geometric comparison of contout images of objects. J. of Qafqaz University. Mathematics and Computer Science. (Baku). 2014. 2(2): 166-175.
9. Golovkin B.A. Parallel'nye vychislitel'nye sistemy. Moskva: Nauka, 1980 [in Russian].
10. Fet Ja.I. Parallel'nye processory dlja upravljajushhih sistem. Moskva: Jenergoizdat, 1981 [in Russian].
11. Palagin A.V. Proektirovanie rekonfiguriruemyh cifrovyh sis tem: monografija. A.V. Palagin, A.A. Barkalov, V.N. Opanasenko, L.A.Titarenko. Lugansk: Izd-vo VNU im. V. Dalja, 2011 [in Russian].
12. Bojun V.P. Spryjnjattja i obrobka zobrazhen' v systemah real'nogo chasu. Shtuchnyj intelekt. 2013. No 3(61): 114- 125 [in Ukrainian].
13. Bojun V.P. Intelektual'ni videosystemy real'nogo chasu. Materialy p'jatoi' Mizhnarodnoi' naukovo-praktychnoi' konferencii' «Informacijni tehnologii' ta komp'juterna in zhenerija» (ITKI-2015), 27-29 travnja 2015, Ivano-Frankivs'k. Vinnycja: Prykarpats'kyj nacional'nyj univer sytet, 2015: 112-114 [in Ukrainian].
14. Pat. Ukrai'ny na vynahid №106301, BV №15. Sensornyj prystrij dlja vyznachennja miscepolozhennja ta mo mentiv inercii' ob'jekta. Bojun V.P. [in Ukrainian].
15. Pat. Ukrai'ny na vynahid №109335, BV №15. Sensorna matrycja z obrobkoju zobrazhen'. Bojun V.P. [in Ukrainian].