Abstract
In this paper, we propose a novel approach to perform efficient motion estimation specific to surveillance videos. A real-time background subtractor is used to detect the presence of any motion activity in the sequence. Two approaches for selective motion estimation, GOP-by-GOP and Frame-by-Frame, are implemented. In the former, motion estimation is performed for the whole group of pictures (GOP) only when moving object is detected for any frame of the GOP. While for the latter approach; each frame is tested for the motion activity and consequently for selective motion estimation. Experimental evaluation shows that significant reduction in computational complexity can be achieved by applying the proposed strategy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Li, R., Zeng, B., Liou, M.L.: A New Three-Step Search Algorithm for Block Motion Estimation. IEEE Trans. Circuit Syst. Video Technol. 4, 438–442 (1994)
Po, L.M., Ma, W.C.: A Novel Four Step Search Algorithm for Fast Block Motion Estimation. IEEE Trans. Circuit Syst. Video Technol. 6, 313–317 (1996)
Zhu, S., Ma, K.K.: A New Diamond Search Algorithm for Fast Block-Matching Motion Estimation. IEEE Trans. Image Processing. 9, 287–290 (2000)
Lam, C.W., Po, L.M., Cheung, C.H.: A Novel Kite-Cross-Diamond Search Algorithm for Fast Block Matching Motion Estimation. In: IEEE ISCAS, vol. 3, pp. 729–732 (2004)
Yi, X., Ling, N.: Rapid Block-Matching Motion Estimation Using Modified Diamond Search. In: IEEE ISCAS, vol. 6, May 2005, pp. 5489–5492 (2005)
Stauffer, C., Grimson, W.E.L.: Learning Patterns of Activity Using Real Time Tracking. IEEE Transaction on Pattern Analysis and Machine Intelligence 22, 747–757 (2000)
Mrak, M., Sprljan, N., Zgaljic, T., Ramzan, N., Wan, S., Izquierdo, E.: Performance Evidence of Software Proposal for Wavelet Video Coding Exploration Group. Technical Report, ISO/IEC JTC1/SC29/WG11/MPEG2006/ 13146 (2006)
Zgaljic, T., Ramzan, N., Akram, M., Izquierdo, E., Caballero, R., Finn, A., Wang, H., Xiong, Z.: Surveillance Centric Coding. In: 5th International Conference on Visual Information Engineering (VIE 2008), July 2008, pp. 835–839 (2008)
Akram, M., Ramzan, N., Izquierdo, E.: Event Based Video Coding Architecture. In: 5th International Conference on Visual Information Engineering (VIE 2008), July 2008, pp. 807–812 (2008)
Mrak, M., Izquierdo, E.: Spatially Adaptive Wavelet Transform for Video Coding with Multi-Scale Motion Compensation. In: IEEE International Conference on Image Processing, September 2007, vol. 2, pp. 317–3320 (2007)
Zgaljic, T., Sprljan, N., Izquierdo, E.: Bit-Stream Allocation Methods for Scalable Video Coding Supporting Wireless Communications. Signal Processing: Image Communications 22, 298–316 (2007)
Recommendation ITU-T BT 500.10: Methodology for the Subjective Assessment of the Quality of Televisions Pictures (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Akram, M., Ramzan, N., Izquierdo, E. (2010). Selective Motion Estimation for Surveillance Videos. In: Daras, P., Ibarra, O.M. (eds) User Centric Media. UCMEDIA 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12630-7_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-12630-7_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12629-1
Online ISBN: 978-3-642-12630-7
eBook Packages: Computer ScienceComputer Science (R0)