Open Access Open Access  Restricted Access Subscription or Fee Access

A Novel Real Time Motion Detection Algorithm

M.V.L.N. Rajarao, M. Nagaraju, J. Dhanunjay


Constant identification of moving items is fundamental for feature reconnaissance. Foundation subtraction serves as an essential system normally used to portion the moving questions in picture successions taken from a camera. Some current calculations cannot calibrate changing circumstances and they require manual alignment in connection to the determination of parameters or a few speculations for element evolving foundation. A versatile movement division and recognition methodology is produced by utilizing movement variety and chromatic attributes, which kills undesired defilement of the foundation model and it doesn't look on the adjustment coefficient. In this specific proposed work, a novel constant movement discovery calculation is proposed for element changing foundation characteristics. The calculation coordinates the worldly differencing alongside optical stream technique, twofold foundation separating strategy and morphological handling procedures to accomplish better location execution. Worldly differencing is intended to discover introductory movement ranges for the optical-stream computation to create ongoing and exact article movement vectors location. The two fold foundation separating strategy is; acquire and keep a dependable foundation picture to handle varieties on ecological changing conditions that is intended to dispose of the foundation obstruction and separate the moving articles from it. The morphological preparing routines are embraced and blended with the twofold foundation separating to get enhanced results. The most appealing advantage for this calculation is that the calculation does not require making sense of the foundation model from several pictures and can deal with snappy picture varieties without earlier understanding of the article size and shape.

Keywords: Background model, optical flow model, image segmentation, background detection


Cite this Article:
Rajarao MVLN, Nagaraju M, Dhanunjay J. A Novel Real Time Motion Detection Algorithm. Journal of Advancements in Robotics. 2015; 2(1): 8–15p.

Full Text:



Tian YL, Hampapur A. Robust Salient Motion Detection with Complex Background for Real-time Video Surveillance. IEEE Computer Society Workshop on Motion and Video Computing, Breckenridge, Colorado. Jan 5 and 6, 2005.

Elnagar A, Basu A. Motion Detection using Background Constraints. Pattern Recogn. Oct, 1995; 28(10): 1537–1554p.

Spagnolo P, D'Orazio T, Leo M, et al. Advances in Background Updating and Shadow Removing for Motion Detection Algorithms. Lect. Notes Comput. Sc. 2005; 3691(LNCS): 398–406p.

Butler DE, Bove Jr VM, Sridharan S. Real-Time Adaptive Foreground/Background Segmentation. Eurasip J. Appl. Sig. P. Aug 11, 2005; 2005(14): 2292–2304p.

Guo J, Rajan D, Chng ES. Motion Detection with Adaptive Background and Dynamic Thresholds. Fifth Int. Conf. Information, Communications and Signal Processing. 06–09 Dec. 2005; 41–45p.

Manzanera A, Richefeu JC. A New Motion Detection Algorithm Based on Σ-Δ Background Estimation. Pattern Recogn. Lett. Feb 1, 2007; 28(3): 320–328p.

Ren Y, Chua CS, Ho YK. Motion Detection with Nonstationary Background. Mach. Vis. Appl. Mar 2003; 13(5–6): 332–343p.

Nan Lu, Jihong Wang, Li Yang, et al. Motion Detection Based On Accumulative Optical Flow and Double Background Filtering. Proc. World Congress on Engineering (WCE). London, U.K. Jul 2–4, 2007; I(WCE2007).

Toyama K, Krumm J, Brumitt B, et al. Wallflower: Principles and Practice of Background Maintenance. IEEE Int Conf. on Computer Vision. 1999; 1: 255–261p.


  • There are currently no refbacks.

This site has been shifted to