We propose an algorithm for monitoring dynamic objects using integral optical flow, based on constructing a zone of interest for the motion and determining the vector structures, which let us determine the state of moving objects as the nature of the motion changes. Using the algorithm, we can analyze not only the motion of the object as a whole but also its internal changes. Determining the stages for development of the dynamic object using integral optical flow improves the accuracy in predicting the evolution of such objects and improves the quality of solutions to many problems involving automation of monitoring complex motion of dynamic objects.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
L. Wang, W. Hu, and T. Tan, Pattern Recognition, 36, No. 3, 585–601 (2003).
S. Huh and S. Eom, in: Proceedings of the Ninth IEEE International Symposium on Biomedical Imaging (2012), pp. 390–393.
Ch. Qiu, Zh. Zhang, H. Lu, and H. Luo, Prog. Electromagn. Res. B, 62, 195–223 (2015).
Guo-wu Yuan, Ji-xian Zhang, Yun-hua Han, Hao Zhou, and Dan Xu, in: Advances in Swarm and Computational Intelligence. Lecture Notes in Computer Science, 9142, 155–163 (2015).
Ming-Shou An and Dae-Seong Kang, Int. J. Multimed. Ubiquit. Engin., 10, No. 10, 35–46 (2015).
O. E. Harrouss, D. Moujahid, S. E. Elkaitouni, and H. Tairi, in: IEEE/ACS Twelfth International Conference on Computer Systems and Applications, Marrakech (2015), pp. 1–5.
P. Vijayakumar and A. V. Senthilkumar, Int. J. Res. Engin. Technol., 5, No. 2, 303–310 (2016).
M. Watter, J. Springenberg, J. Boedecker, and M. Riedmiller, Adv. Neural Inform. Proc. Systems, 2728–2736 (2015).
I. Sutskever and G. Hinton, in: Proceedings, International Conference on Artificial Intelligence and Statistics (2007), pp. 548–555.
M. Lecca, S. Messelodi, and R. Serapioni, J. Math. Image Vision, 53, No. 2, 233–249 (2015).
J. Yang and H. Li, in: IEEE Conference on Computer Vision Pattern Recognition (2015), pp. 1019–1027.
S. Huh, IEEE Transact. Med. Imag., 30, No. 3, 586–596 (2011).
T. Kanade, in: EEE Workshop on Applications of Computer Vision (2011), pp. 374–381.
L. Kang, Med. Image Analysis, No. 12, 546–566 (2008).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Zhurnal Prikladnoi Spektroskopii, Vol. 84, No. 1, pp. 138–146, January–February, 2017.
Rights and permissions
About this article
Cite this article
Chen, C., Ye, S., Chen, H. et al. Integral Optical Flow and its Application for Monitoring Dynamic Objects from a Video Sequence. J Appl Spectrosc 84, 120–128 (2017). https://doi.org/10.1007/s10812-017-0437-z
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10812-017-0437-z