# Action Anticipation By Predicting Future Dynamic Images

arXiv: https://arxiv.org/abs/1808.00141 · HTML: https://mlsanity.com/paper/1808.00141/

## Key facts

- Cited by 18 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Aug 2018.

## Built on by (most cited first, 18 of 18)

- [Anticipative Video Transformer](https://mlsanity.com/paper/2106.02036/) (2021)
- [Learning to Anticipate Egocentric Actions by Imagination](https://mlsanity.com/paper/2101.04924/) (2021)
- [Interaction Region Visual Transformer for Egocentric Action Anticipation](https://mlsanity.com/paper/2211.14154/) (2022)
- [Anticipating human actions by correlating past with the future with Jaccard similarity measures](https://mlsanity.com/paper/2105.12414/) (2021)
- [Predicting the Future from First Person (Egocentric) Vision: A Survey](https://mlsanity.com/paper/2107.13411/) (2021)
- [Rethinking Learning Approaches for Long-Term Action Anticipation](https://mlsanity.com/paper/2210.11566/) (2022)
- [Generative Adversarial Network for Future Hand Segmentation from Egocentric Video](https://mlsanity.com/paper/2203.11305/) (2022)
- [Temporally smooth online action detection using cycle-consistent future anticipation](https://mlsanity.com/paper/2104.08030/) (2021)
- [A Survey on Deep Learning Techniques for Action Anticipation](https://mlsanity.com/paper/2309.17257/) (2023)
- [Diverse Multimedia Layout Generation with Multi Choice Learning](https://mlsanity.com/paper/2301.06629/) (2023)
- [Anticipating Next Active Objects for Egocentric Videos](https://mlsanity.com/paper/2302.06358/) (2023)
- [Cross-modal Contrastive Distillation for Instructional Activity Anticipation](https://mlsanity.com/paper/2201.06734/) (2022)
- [Predicting Physical World Destinations for Commands Given to Self-Driving Cars](https://mlsanity.com/paper/2112.05419/) (2021)
- [HiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation](https://mlsanity.com/paper/2411.01455/) (2024)
- [Live Laparoscopic Video Retrieval with Compressed Uncertainty](https://mlsanity.com/paper/2203.04301/) (2022)
- [FDSG: Forecasting Dynamic Scene Graphs](https://mlsanity.com/paper/2506.01487/) (2025)
- [Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation](https://mlsanity.com/paper/2104.05145/) (2021)
- [Predicting decision-making in the future: Human versus Machine](https://mlsanity.com/paper/2110.04465/) (2021)

## Abstract (arXiv)

Human action-anticipation methods predict what is the future action by observing only a few portion of an action in progress. This is critical for applications where computers have to react to human actions as early as possible such as autonomous driving, human-robotic interaction, assistive robotics among others. In this paper, we present a method for human action anticipation by predicting the most plausible future human motion. We represent human motion using Dynamic Images and make use of tailored loss functions to encourage a generative model to produce accurate future motion prediction. Our method outperforms the currently best performing action-anticipation methods by 4% on JHMDB-21, 5.2% on UT-Interaction and 5.1% on UCF 101-24 benchmarks.