Abstract
Estimating motion in scenes containing multiple motions remains a difficult problem for computer vision. Here we describe a novel recurrent network architecture which solves this problem by simultaneously estimating motion and segmenting the scene. The network is comprised of locally connected units which carry out simple calculations in parallel. We present simulation results illustrating the successful motion estimation and rapid convergence of the network on real image sequences.
| Original language | English |
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| Pages | 293-302 |
| Number of pages | 10 |
| State | Published - 1995 |
| Externally published | Yes |
| Event | Proceedings of the 5th IEEE Workshop on Neural Networks for Signal Processing (NNSP'95) - Cambridge, MA, USA Duration: 31 Aug 1995 → 2 Sep 1995 |
Conference
| Conference | Proceedings of the 5th IEEE Workshop on Neural Networks for Signal Processing (NNSP'95) |
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| City | Cambridge, MA, USA |
| Period | 31/08/95 → 2/09/95 |