Title :
Hardware evaluation process for tracking edge-lines
Author :
Chehikian, A. ; Stelmaszyk, P. ; De Paoli, S.
Author_Institution :
LTIRF, Grenoble, France
Abstract :
The use of depth and motion for three-dimensional scene analysis requires a system that can accurately and reliably measure image motion. Such measurements can be obtained by tracking the position of edge lines in a closely spaced monocular sequence of images. The reliability of such a technique is greatly enhanced by maintaining a model of image flow composed of the position and velocity of tokens constructed from edge lines. Algorithmic aspects of such a system are presented, and it is shown how the complexity can be reduced in order to optimize hardware. Results on real data are provided, and architectural aspects are discussed
Keywords :
computational complexity; computerised picture processing; performance evaluation; complexity; image flow; image motion; monocular sequence; scene analysis; tracking; tracking edge-lines; Flowcharts; Hardware; Kalman filters; Layout; Matched filters; Motion analysis; Motion measurement; Predictive models; Solid modeling; Vibration measurement;
Conference_Titel :
Industrial Applications of Machine Intelligence and Vision, 1989., International Workshop on
Conference_Location :
Tokyo
DOI :
10.1109/MIV.1989.40573
