Conference Proceedings

Time-Conditioned Action Anticipation in One Shot

Qiuhong Ke, Mario Fritz, Bernt Schiele

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition | IEEE | Published : 2019

Abstract

The goal of human action anticipation is to predict future actions. Ideally, in real-world applications such as video surveillance and self-driving systems, future actions should not only be predicted with high accuracy but also at arbitrary and variable time-horizons ranging from short- to long-term predictions. Current work mostly focuses on predicting the next action and thus long-term prediction is achieved by recursive prediction of each next action, which is both inefficient and accumulates errors. In this paper, we propose a novel time-conditioned method for efficient and effective long-term action anticipation. There are two key ingredients to our approach. First, by explicitly condi..

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