# The Evolution of First Person Vision Methods: A Survey

arXiv: https://arxiv.org/abs/1409.1484 · HTML: https://mlsanity.com/paper/1409.1484/

## Key facts

- Cited by 19 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Sep 2014.

## Built on by (most cited first, 19 of 19)

- [An Outlook into the Future of Egocentric Vision](https://mlsanity.com/paper/2308.07123/) (2023)
- [Retrieval-Augmented Egocentric Video Captioning](https://mlsanity.com/paper/2401.00789/) (2024)
- [Predicting the Future from First Person (Egocentric) Vision: A Survey](https://mlsanity.com/paper/2107.13411/) (2021)
- [Challenges and Trends in Egocentric Vision: A Survey](https://mlsanity.com/paper/2503.15275/) (2025)
- [Egocentric Human-Object Interaction Detection Exploiting Synthetic Data](https://mlsanity.com/paper/2204.07061/) (2022)
- [Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention](https://mlsanity.com/paper/2109.02955/) (2021)
- [A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives](https://mlsanity.com/paper/2403.03037/) (2024)
- [Untrimmed Action Anticipation](https://mlsanity.com/paper/2202.04132/) (2022)
- [Hier-EgoPack: Hierarchical Egocentric Video Understanding with Diverse Task Perspectives](https://mlsanity.com/paper/2502.02487/) (2025)
- [EgoPrivacy: What Your First-Person Camera Says About You?](https://mlsanity.com/paper/2506.12258/) (2025)
- [Measuring hand use in the home after cervical spinal cord injury using egocentric video](https://mlsanity.com/paper/2203.16996/) (2022)
- [Zero-Shot Temporal Interaction Localization for Egocentric Videos](https://mlsanity.com/paper/2506.03662/) (2025)
- [EgoLoc: A Generalizable Solution for Temporal Interaction Localization in Egocentric Videos](https://mlsanity.com/paper/2508.12349/) (2025)
- [Panoptic Segmentation using Synthetic and Real Data](https://mlsanity.com/paper/2204.07069/) (2022)
- [Evaluation Framework for Computer Vision-Based Guidance of the Visually Impaired](https://mlsanity.com/paper/2209.09676/) (2022)
- [Learning a Visually Grounded Memory Assistant](https://mlsanity.com/paper/2210.03787/) (2022)
- [PhilHumans: Benchmarking Machine Learning for Personal Health](https://mlsanity.com/paper/2405.02770/) (2024)
- [Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing](https://mlsanity.com/paper/2502.18123/) (2025)
- [Learning Egocentric In-Hand Object Segmentation through Weak Supervision from Human Narrations](https://mlsanity.com/paper/2509.26004/) (2025)

## Abstract (arXiv)

The emergence of new wearable technologies such as action cameras and smart-glasses has increased the interest of computer vision scientists in the First Person perspective. Nowadays, this field is attracting attention and investments of companies aiming to develop commercial devices with First Person Vision recording capabilities. Due to this interest, an increasing demand of methods to process these videos, possibly in real-time, is expected. Current approaches present a particular combinations of different image features and quantitative methods to accomplish specific objectives like object detection, activity recognition, user machine interaction and so on. This paper summarizes the evolution of the state of the art in First Person Vision video analysis between 1997 and 2014, highlighting, among others, most commonly used features, methods, challenges and opportunities within the field.