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

Detection of Edges of Moving Object from Video


Affiliations
1 Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani, Nadia, India
     

   Subscribe/Renew Journal


In this paper, an effort has been made to detect a moving object with its edges for proper analysis. Appropriate detection and analysis of an image is a key factor for several image based applications. This has a high application in various security system and traffic system. Here, the object is falling from a height, ‘h’, with an angular rotation of ‘θ’ in its own axis. The aim this paper is to recognize moving object separately from other stationary things and background. The edges of moving object are also detected. Roberts edge detection method is used to detect edges of moving object. To work with a video and to implement algorithms in a continuous manner, simulation models using MATLAB r2014a software are used and outputs are obtained after compiling simulation models.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Y. Caspi and M. Irani, “ Alignment of nonoverlapping sequences”, Proc. Int. Conf. Computer Vision, 76-83, 2001.
  • P. Torr, “Motion Segmentation and Outlier Detection”, PhD thesis, Department of Engineering Science, University of Oxford, 1995.
  • D. Jacobs, “Linear fitting with missing data: Applications to structure-from-motion and its characterizing intensity images”. Proc.Conf. Computer Vision and Pattern Recognition, 206-212, 1997
  • I. Rechardson, M. Bystrom, M. de Frutos and S. Kannangara, “Dynamic transform replacement in an H.264 CODEC”, IPIC2008, 2108-2111.
  • W. H. A Wang and C. L. Tung , “Dynamic hand gesture recognition using hierarchical dynamic Bayesian networks through low-level image processing”, IEEE international conference on machine and cybernetics , 12-15July2008,Volume: 6,pages 3247-3253, 2008.
  • M. Trentacoste , W. Heidrich, L. Whitehead, H. Seetzen and G. Ward , “Photometric image processing for high dynamic range displays”, Journal of Visual Communication and Image Representation, Vol. 18 (5), 439-451, 2007.
  • N. Nain, V. Laxmi, A. K. Jain and R. Agarwal, “Morphological Edges Detection and Corner Detection Algorithm using Chain encoding” , Malaviya National Institute of Technology , Jaipur, IPCV’ 06.
  • J. Canny, “A Computational Approach to Edge Detection” , PAMI 8(6) : 679-698, 1986.
  • H. Freeman and L. S. Davis, “A Corner Finding Algorithm for Chain Coded Curves” , IEEE Trans. Computers , Vol-26, pp. 297- 303 , 1977.
  • SUSAN, “A New Approach to Low Level Image Processing” , Technical Report TR95SMS 1 c.
  • X. C. He and N. H. C. Yung, “Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support”, ICPR, 17th International Conference on Pattern Recognition, ICPR’04, Volumn-2, pp 791-794 2004.
  • B.BARMAN , T.K. DEY “An Algorithm to find the positional effects of a 3-D element under motion(ALGO-0157)” ,In the 2009 IEEE International Advance Computing Conference in Patiala, India, 2009

Abstract Views: 426

PDF Views: 3




  • Detection of Edges of Moving Object from Video

Abstract Views: 426  |  PDF Views: 3

Authors

Bandana Barman
Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani, Nadia, India

Abstract


In this paper, an effort has been made to detect a moving object with its edges for proper analysis. Appropriate detection and analysis of an image is a key factor for several image based applications. This has a high application in various security system and traffic system. Here, the object is falling from a height, ‘h’, with an angular rotation of ‘θ’ in its own axis. The aim this paper is to recognize moving object separately from other stationary things and background. The edges of moving object are also detected. Roberts edge detection method is used to detect edges of moving object. To work with a video and to implement algorithms in a continuous manner, simulation models using MATLAB r2014a software are used and outputs are obtained after compiling simulation models.

References





DOI: https://doi.org/10.24906/isc%2F2017%2Fv31%2Fi5%2F161486