Информатика и системы управления
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Другие журналы

электронный журнал

МОЛОДЕЖНЫЙ НАУЧНО-ТЕХНИЧЕСКИЙ ВЕСТНИК

Издатель Академия инженерных наук им. А.М. Прохорова. Эл No. ФС77-51038. ISSN 2307-0609

Метод отслеживания объектов с подвижной камеры

Молодежный научно-технический вестник # 01, январь 2015
УДК: 519.6
Файл статьи: Меньшов Н.Д..pdf (4301.52Кб)
автор: Меньшов Н. Д.

1.     Choi W., Savarese S. Multiple Target Tracking in World Coordinate with Single, Minimally Calibrated Camera // European Conference on Computer Vision. Heraklion . 2010. P. 553-567.

2.     Choi W., Pantofaru C., Savarese S. Detecting and Tracking People using an RGB-D Camera via Multiple Detector Fusion // Workshop on Challenges and Opportunities in Robot Perception, at the International Conference on Computer Vision. Barcelona. 2011. P. 1076-1083.

3.     Kalal Z., Mikolajczyk K., Matas J. Tracking - Learning - Detection // IEEE Transacions on pattern analysis and machine intelligence. 2010. Vol. 6. No. 1. P. 1409-1422;

4.     Shi J., Tomasi C. Good features to track // Conference on Computer Vision and Pattern Recognition. Berlin, 1994. P.593-600.

5.     Okuma K., Taleghani A., Freitas N.D., Freitas O.D., Little J.J., Lowe D.G. A boosted particle flter: Multitarget detection and tracking // European Conference on Computer Vision. Prague .2004. P. 28-39.

6.     Wu B., Nevatia R. Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors // International Journal of Computer Vision. 2007. P. 247-266.

7.     Tomasi C., Kanade T. Detection and tracking of point features // International Journal of Computer Vision, 1991. P. 132-149.

8.     Kuhn H.W. The hungarian method for the assignment problem // Naval Research Logistics Quarterly. 1955. P. 29-47.

9.     Khan Z., Balch T. Dellaert  F. Mcmc-based particle filtering for tracking available number of interacting targets // Pattern Analysis and Machine Intelligence, IEEE Transactions. 2005. Vol. 27. No. 11. P. 279-290.

10. Harris C., Stephens M. A combined corner and edge detector // Plessey Research Roke Manor. 1988. P. 147-151.

11. Bibby C., Reid I. Real-time Tracking of Multiple Occluding Objects using Level Sets, Computer Vision and Pattern Recognition // Computer Vision and Pattern Recognition IEEE. 2010. Vol. 6. No. 1. P. 1307 – 1314.

12. Horn B. K. P., Schunck B. G. Determining optical flow //Artificial intelligence. 1981. Vol. 17. No. 1-3. P. 185–203.

13. Alhwarin F., Wang C., Risti-Durrant D., Gräser A. Improved SIFT-Features Matching for Object Recognition // Visions of Computer Science - BCS International Academic Conference. London. 2008. P. 179-190.

14. Lowe David G. Object Recognition from Local Scale-Invariant Features // International Conference on Computer Vision. Corfu. 1999. P. 1150 – 1157.

15. Friedman N., Russell S. Image Segmentation in Video Sequences / Computer Science Division University of California. Berkeley, 1997. P. 175-181.

16. Stauffer C., Grimson W.E.L. Adaptive background mixture models for real-time tracking / The Artificial Intelligence Laboratory Massachusetts Institute of Technology. 1999. P. 366 – 381.

17. Heikkila M., Pietikainen M. A Texture-Based Method for Modeling the Background and Detecting Moving Objects // Pattern Analysis and Machine Intelligence, IEEE Transactions. 2006. Vol. 28. No. 4. P. 657 – 662.

18. Elgammal A., Harwood D., Davis L. Non-parametric Model for Background Subtraction // Computer Vision Laboratory University of Maryland, College Park. 2000. P. 751-767.

19. Zach C., Pock T., Bischof H. A Duality Based Approach for Realtime Optical Flow // Research Center Institute for Computer Graphics and Vision. TU Graz. 2007. P. 214-223.

20. Craig R. Implementation of the Pure Pursuit Path Algorithm // The Robotics Institute Camegie Mellon University Pittsburgh, Pennsylvania. 1992. P. 34-50.

21. База данных с видео. Режим доступа:   http://www.vision.ee.ethz.ch/~aess/dataset/ (дата обращения 22.05.2014).

22. Opencv. Режим доступа: http://opencv.org/  (дата обращения 22.05.2014).


Тематические рубрики:
Поделиться:
 
ПОИСК
 
elibrary crossref neicon rusycon
 
ЮБИЛЕИ
ФОТОРЕПОРТАЖИ
 
СОБЫТИЯ
 
НОВОСТНАЯ ЛЕНТА



Авторы
Пресс-релизы
Библиотека
Конференции
Выставки
О проекте
Rambler's Top100
Телефон: +7 (499) 263-61-98
  RSS
© 2003-2024 «Молодежный научно-технический вестник» Тел.: +7 (499) 263-61-98