STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation

• URL: http://arxiv.org/abs/2007.05481v1
• Date: Fri, 10 Jul 2020 17:01:34 GMT
• Title: STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation
• Authors: Pierre Godet, Alexandre Boulch, Aur\'elien Plyer and Guy Le Besnerais
• Abstract summary: We present a new lightweight CNN-based algorithm for multi-frame optical flow estimation. The resulting STaRFlow algorithm gives state-of-the-art performances on MPI Sintel and Kitti2015.
• Score: 64.99259320624148
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present a new lightweight CNN-based algorithm for multi-frame optical flow estimation. Our solution introduces a double recurrence over spatial scale and time through repeated use of a generic "STaR" (SpatioTemporal Recurrent) cell. It includes (i) a temporal recurrence based on conveying learned features rather than optical flow estimates; (ii) an occlusion detection process which is coupled with optical flow estimation and therefore uses a very limited number of extra parameters. The resulting STaRFlow algorithm gives state-of-the-art performances on MPI Sintel and Kitti2015 and involves significantly less parameters than all other methods with comparable results.

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