INTEGRAL OPTICAL FLOW AND ITS APPLICATIONS FOR DYNAMIC OBJECT MONITORING IN VIDEO
Abstract
We propose a novel algorithm for monitoring of dynamic objects by using integral optical flow. The algorithm is based on construction of field of integral optical flow and its structure allows one to describe stages of motion for dynamic objects. The algorithm allows one to analyze not only the motion of an object as a whole but also the internal structure of the object. Definition of stages of dynamic object development by integral optical flow allows one to make a detailed prognosis of evolution of such objects. Application of the proposed approach to three tasks: analysis of outdoor scene, cell image and flow monitoring. It allows one to improve the quality of solutions of many tasks for monitoring complex dynamic objects and can be applied into various automatic monitoring systems for complex motion investigation.
About the Authors
Ch. . Chen
Zhejiang Shuren University
Russian Federation
Russian Federation
Sh. . Ye
Zhejiang Shuren University
Russian Federation
Russian Federation
H. . Chen
Zhejiang Shuren University
Russian Federation
Russian Federation
O. V. Nedzvedz
Belarusian State Medical University
Russian Federation
Russian Federation
S. V. Ablameyko
Belarusian State University
Russian Federation
Russian Federation
References
1. L. Wang, W. Hu, T. Tan. Pattern Recognition, 36, N 3 (2003) 585-601
2. S. Huh, S. Eom. Proc. 9th IEEE Int. Symposium on Biomedical Imaging (2012) 390-393
3. Ch. Qiu, Zh. Zhang, H. Lu, H. Luo. Prog. Electromagn. Res. B, 62 (2015) 195-223
4. Guo-wu Yuan, Ji-xian Zhang, Yun-hua Han, Hao Zhou, Dan Xu. Adv. Swar. Comput. Intellig. Lecture Note. Computer Sci., 9142 (2015) 155-163
5. Ming-Shou An, Dae-Seong Kang. Int. J. Multimed. Ubiquit. Engin., 10, N 10 (2015) 35-46
6. O. E. Harrouss, D. Moujahid, S. E. Elkaitouni, H. Tairi. IEEE/ACS 12th Int. Conf. Computer Systems and Applications, Marrakech (2015) 1-5
7. P. Vijayakumar, A. V. Senthilkumar. Int. J. Res. Engin. Technol., 5, N 2 (2016) 303-310
8. M. Watter, J. Springenberg, J. Boedecker, M. Riedmiller. Adv. Neural Inform. Proc. Systems (2015) 2728-2736
9. I. Sutskever, G. Hinton. Proc. Int. Conf. Artificial Intelligence and Statistics (2007) 548-555
10. M. Lecca, S. Messelodi, R. Serapioni. J. Mathemat. Image Vision, 53, N 2 (2015) 233-249
11. J. Yang, H. Li. IEEE Conf. Computer Vision Pattern Recognition (2015) 1019-1027
12. S. Huh. IEEE Transact. Med. Imag., 30, N 3 (2011) 586-596
13. T. Kanade. EEE Workshop on Applications of Computer Vision (2011) 374-381
14. L. Kang. Med. Image Analysys, N 12 (2008) 546-566
Review
For citations:
Chen Ch., Ye Sh., Chen H., Nedzvedz O.V., Ablameyko S.V. INTEGRAL OPTICAL FLOW AND ITS APPLICATIONS FOR DYNAMIC OBJECT MONITORING IN VIDEO. Zhurnal Prikladnoii Spektroskopii. 2017;84(1):138-146. (In Russ.)
Views: 353
Email this article 