Summary: 1
McCandless JW (1999) Detection of aircraft in video sequences using a predictive
optical flow algorithm. Optical Engineering, 3: 523-530.
Detection of Aircraft in Video Sequences
Using A Predictive Optical Flow Algorithm
Jeffrey W. McCandless
Human Information Processing Research Branch
Mail Stop 262-2
NASA Ames Research Center
Moffett Field, CA 94035-1000
phone: (650) 604-1162
fax: (650) 604-0255
e-mail: jmccandless@mail.arc.nasa.gov
Abstract. This paper presents a computer vision algorithm that segregates spurious
optical flow artifacts to detect a moving object. The algorithm consists of six steps.
First, the pixels in each image are shifted to compensate for camera rotation.
Second, the images are smoothed with a spatio­temporal Gaussian filter. Third, the
optical flow is computed with a gradient­based technique. Fourth, optical flow
vectors with small magnitudes are discarded. Fifth, vectors with similar locations,
magnitudes, and directions are clustered together using a spatial consistency test.

Source: Ahumada Jr., Al - Vision Science and Technology Group, Human Factors Research and Technology Division, NASA Ames Research Center

Collections: Engineering