Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Designing Predictive Model to Find Displacements of a Moving Object:Longitudinal and Rotational


Affiliations
1 Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani-741235, Nadia, West Bengal, India
     

   Subscribe/Renew Journal


The calculation of motion with vertical, horizontal and angular displacement of a moving object is important to find the rotational characteristics of that particle. In this paper, algorithm is generated to find these displacements. For this, a 3-D object (Balloon) which is falling from a vertical height with its attributes and characteristics is considered. Algorithm is coded and implemented by the software MATLAB R2013a. As results, the distance covered by the object and the velocity of motion are calculated. The design of a predictive model to detect all displacements with the angular shift of moving object is also demonstrated in this paper.

Keywords

Image Processing, Rasterization, RGB Image, GRAY Image, BINARY Image, Shadow Negation, Matrix Manipulation, Image Scaling.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Gonzalez, R. C. and Woods, R. E., Digital Image Processing, 3rd edition, Pearson Education, Inc, Pearson Prentice Hall, 2008.
  • Guo, G., Dyer, C. R. and Zhang, Z., Linear Combination Representation for Outlier Detection in Motion Tracking, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, DOI: 10.1109/CVPR.2005.214, pp. 76-83, 2005.
  • Caspi, Y. and Irani, M., Alignment of Non-overlapping Sequences, International Journal of Computer Vision, Vol. 48(1), pp. 39-51, 2002.
  • Torr, P., Motion Segmentation and Outlier Detection, PhD thesis, Department of Engineering Science, University of Oxford, 1995.
  • Jacobs, D., Linear Fitting with Missing Data: Applications to Structure-from-motion and Its Characterizing Intensity Images, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, DOI: 10.1109/CVPR.1997.609321, pp. 206-212, 1997.
  • Rechardson, I., Bystrom, M., Frutos, M. D. and Kannangara, S., Dynamic Transform Replacement in an H.264 CODEC, in the Proceedings of IPIC2008, pp. 2108-2111, 2008.
  • Wang, W. H. A., and Tung, C. L., Dynamic Hand Gesture Recognition using Hierarchical Dynamic Bayesian Networks Through Low-level Image Processing, in the Proceedings of IEEE International Conference on Machine and Cybernetics, pp. 3247-3253, 2008.
  • Trentacoste, M., Heidrich, W., Whitehead, L., Seetzen, H. and Ward, G., Photometric Image Processing for High Dynamic Range Displays, Journal of Visual Communication and Image Representation, Vol. 18, pp. 439-451, 2007.

Abstract Views: 440

PDF Views: 5




  • Designing Predictive Model to Find Displacements of a Moving Object:Longitudinal and Rotational

Abstract Views: 440  |  PDF Views: 5

Authors

Bandana Barman
Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani-741235, Nadia, West Bengal, India

Abstract


The calculation of motion with vertical, horizontal and angular displacement of a moving object is important to find the rotational characteristics of that particle. In this paper, algorithm is generated to find these displacements. For this, a 3-D object (Balloon) which is falling from a vertical height with its attributes and characteristics is considered. Algorithm is coded and implemented by the software MATLAB R2013a. As results, the distance covered by the object and the velocity of motion are calculated. The design of a predictive model to detect all displacements with the angular shift of moving object is also demonstrated in this paper.

Keywords


Image Processing, Rasterization, RGB Image, GRAY Image, BINARY Image, Shadow Negation, Matrix Manipulation, Image Scaling.

References





DOI: https://doi.org/10.22485/jaei%2F2017%2Fv87%2Fi1-2%2F153430