- Déjà vu: Motion Prediction in Static Images
- Lecture Notes in Computer Science
- Pages (from-to)
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
This paper proposes motion prediction in single still images by learning it from a set of videos. The building assumption is that similar motion is characterized by similar appearance. The proposed method learns local motion patterns given a specific appearance and adds the predicted motion in a number of applications. This work (i) introduces a novel method to predict motion from appearance in a single static image, (ii) to that end, extends of the Structured Random Forest with regression derived from first principles, and (iii) shows the value of adding motion predictions in different tasks such as: weak frame-proposals containing unexpected events, action recognition, motion saliency. Illustrative results indicate that motion prediction is not only feasible, but also provides valuable information for a number of applications.
- go to publisher's site
- Proceedings title: Computer vision-- ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014: proceedings.
- Part III
Place of publication: Cham
Editors: D. Fleet, T. Pajdla, B. Schiele, T. Tuytelaars
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