Abstract
As we drive on the highway, walk down the street, or move around in the house, we make constant use of a complex perceptual mechanism: vision. In these situations, we rely on the visual system’s ability to process the perceived motion of the visual scene across the retina, termed optic flow, for our perception and estimates of self-motion. When self-motion is known, it is possible to identify obstacles and moving objects, determine time to collision, and the three-dimensional structure of the environment.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adelson, E.H., & Bergen, J.R. (1986). The extraction of spatio-temporal energy in human and machine vision. Proceedings of the IEEE Workshop on Motion: Representation and Analysis (pp. 151–155 ). Charleston, South Carolina.
Aloimonos, Y., & Duric, Z. (1992). Active egomotion estimation: a qualitative approach. Second European Conference on Computer Vision (pp. 497–510 ). Santa Margherita Ligure, Italy: Springer.
Aloimonos, Y., Rivlin, E., & Huang, L. (1993). Designing Visual Systems: Purposive Navigation. In: Y. Aloimonos (Ed.) Active Vision (pp. 47–102): Lawrence Erlbaum.
Alok, M., & Aditya, V. (1995). Real time vision system for collision detection. J. Comput. Sci. Inform., Special Issue on “Robotics and Automation”, 25 (1), 174–208.
Anandan, P. (1989). A Computational Framework and an Algorithm for the Measurement of Visual Motion. Int. J. Comput. Vision, 2, 283–3 10.
Barron, J.L., Fleet, D.J., & Beauchemin, S.S. (1994). Performance of optical flow techniques. Int. J. Comput. Vision, 43–77.
Bouthemy, P., & Sundareswaran, V. (1993). Qualitative motion detection with a mobile and active camera. Proceedings of the International Conference on Digital Signal Processing (pp. 444–449). Cyprus.
Camus, T.A. (1995). Calculating time-to-contact using real-time quantized optical flow. (pp. 1–12 ). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.
Coombs, D., Herman, M., Hong, T., & Nashman, M. (1998). Real-time obstacle avoidance using central flow divergence and peripheral flow. IEEE Trans. Rob. Autom., 14 (1), 49–59.
Espiau, B., Chaumette, F., & Rives, P. (1992). A new approach to visual servoing in robotics. IEEE Trans. Rob. Autom., 8 (3), 313–326.
Fermuller, C., & Aloimonos, Y. (1995). Direct perception of three-dimensional motion from patterns of visual motion. Science, 270, 1973–1976.
Heeger, D.J. (1988). Optical flow using spatiotemporal filters. Int. J. Comput. Vision, 1, 279–302.
Heeger, D.J., & Jepson, A.D. (1992). Subspace methods for recovering rigid motion I: Algorithm and implementation. Int. J. Comput. Vision, 7 (2), 95–117.
Herwig, C., Carmesin, H.-O., Hamker, F., & Wandtke, D. (1998). Real-time estimation of heading direction. J. Real-Time Im., Special Issue on “Real Time Motion Analysis”, 4 (1).
Hildreth, E.C. (1984). Computations Underlying the Measurement of Visual Motion. ( Cambridge, MA: MIT Press).
Horn, B. (1985). Robot Vision. ( Cambridge MA: MIT Press).
Horn, B.K.P., & Schunck, B.G. (1981). Determining optical flow. Artif. Intell., 17, 185–203.
Horn, B.K.P., & Weldon, E.J. (1988). Direct methods for recovering motion. Int. J. Comput. Vision, 2 (1), 51–76.
Hummel, R., & Sundareswaran, V. (1993). Motion Parameter Estimation from Global Flow Field Data. IEEE Trans. Pattern Anal. Mach. Intell., 15 (5), 459–476.
Nagel, H.H., & Enkelmann, W. (1986). An estimation of smoothness constraints for the estimation of displacement vector fields from from image sequences. IEEE Trans. Pattern Anal. Mach. Intell., PAMI-8, 565–593.
Negahdaripour, S., & Horn, B.K.P. (1989). Direct method for locating the focus of expansion. Comput. Vis. Graph. Im. Process., 46 (3), 303–326.
Sinclair, D., Blake, A., & Murray, D. (1994). Robust estimating of egomotion from normal flow. Int. J. Comput. Vision, 13, 57–69.
Sundareswaran, V., Bouthemy, P., & Chaumette, F. (1996). Exploiting image motion for active vision in a visual servoing framework. Int. J. Rob.. Res., 15 (6), 629–645.
Sundareswaran, V., Chaumette, F., & Bouthemy, P. (1994). Visual servoing using image motion information. Proceedings of the IAPR/IEEE Workshop on Visual Behavior (pp. 102–106). Seattle.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Sundareswaran, V., Beardsley, S.A., Vaina, L.M. (2004). Fast Processing of Image Motion Patterns Arising from 3-D Translational Motion. In: Vaina, L.M., Beardsley, S.A., Rushton, S.K. (eds) Optic Flow and Beyond. Synthese Library, vol 324. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-2092-6_12
Download citation
DOI: https://doi.org/10.1007/978-1-4020-2092-6_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-6589-6
Online ISBN: 978-1-4020-2092-6
eBook Packages: Springer Book Archive