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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:57819", author = "A. A. Shafie and Fadhlan Hafiz and M. H. Ali", title = "Motion Detection Techniques Using Optical Flow", abstract = "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.", volume = "3", number = "8", pages = "1594-3", }