Motion Detection Techniques Using Optical Flow
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32912
Motion Detection Techniques Using Optical Flow

Authors: A. A. Shafie, Fadhlan Hafiz, M. H. Ali


Motion detection is very important in image processing. One way of detecting motion is using optical flow. Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point, while the flow velocity has two components. A second constraint is needed. The method used for finding the optical flow in this project is assuming that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image. This technique is later used in developing software for motion detection which has the capability to carry out four types of motion detection. The motion detection software presented in this project also can highlight motion region, count motion level as well as counting object numbers. Many objects such as vehicles and human from video streams can be recognized by applying optical flow technique.

Keywords: Background modeling, Motion detection, Optical flow, Velocity smoothness constant, motion trajectories.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 5363


[1] Gibson. 1.1.. The Perception of the Visual World (Riverside Press, Cambridge. 1950)
[2] Gibson.1.1.The Senses Considered as Perceptual Systems (Houghton-Mi Win, Boston. MA, 1966).
[3] Gibson, J.J, On the analysis of change in theoptic array. Scandinavian I. Psychol. 18 (1977)161-163.
[4] Nakayama. K. and laomis. J.M.. Optical velocity patterns. Velocitysensitive neurons and space perception. Perception 3 (1974) 63-80.
[5] Thompson et al., 1985; Kearney et al., 1987; Aggarwal and Martin, 1988.
[6] Thompson et al., 1984; Mutch and Thompson, 1984.
[7] B.H. Sonka, Image Processing, Analysis, and Machine Vision
[1999], pp. 757-759, 808.