Header logo is ps

A model for the detection of motion over time


Conference Paper


We propose a model for the recovery of visual motion fields from image sequences. Our model exploits three constraints on the motion of a patch in the environment: i) Data Conservation: the intensity structure corresponding to an environmental surface patch changes gradually over time; ii) Spatial Coherence: since surfaces have spatial extent neighboring points have similar motions; iii) Temporal Coherence: the direction and velocity of motion for a surface patch changes gradually. The formulation of the constraints takes into account the possibility of multiple motions at a particular location. We also present a highly parallel computational model for realizing these constraints in which computation occurs locally, knowledge about the motion increases over time, and occlusion and disocclusion boundaries are estimated. An implementation of the model using a stochastic temporal updating scheme is described. Experiments with both synthetic and real imagery are presented.

Author(s): Black, M. J. and Anandan, P.
Book Title: Proc. Int. Conf. on Computer Vision, ICCV-90
Pages: 33-37
Year: 1990
Month: December

Department(s): Perceiving Systems
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

Address: Osaka, Japan

Links: pdf


  title = {A model for the detection of motion over time},
  author = {Black, M. J. and Anandan, P.},
  booktitle = {Proc. Int. Conf. on Computer Vision, ICCV-90},
  pages = {33-37},
  address = {Osaka, Japan},
  month = dec,
  year = {1990},
  month_numeric = {12}