| A sequence of images contains more information than a single image. Due to this reason, image sequence analysis has been used in computer vision for quite some time. In particular, using a sequence of images is useful for object detection when the camera moves relative to the object. Due to the relative motion, objects at different distances from the camera have different image motion. Using this property, one can obtain information on structure of the 3-D scene as well as the relative motion between the camera and the scene. Furthermore, the individual images are corrupted by camera noise. Using a sequence of images enables us to suppress this noise and detect low-contrast objects more reliably. In this research, image sequence analysis is used for detection of objects in 3-D space as well as on planar surfaces. The work would be useful for detecting obstacles in the flight path of an aircraft. The research also explores the use of these principles for segmenting scene text objects in video sequences with a relative motion between the camera and the scene. |
