What will the future be? We wonder! In this survey, we explore the gap between current research in egocentric vision and the ever-anticipated future, where wearable computing, with outward facing cameras and digital overlays, is expected to be integrated in our every day lives. To understand this gap, the article starts by envisaging the future through character-based stories, showcasing through examples the limitations of current technology. We then provide a mapping between this future and previously defined research tasks. For each task, we survey its seminal works, current state-of-the-art methodologies and available datasets, then reflect on shortcomings that limit its applicability to future research. Note that this survey focuses on software models for egocentric vision, independent of any specific hardware. The paper concludes with recommendations for areas of immediate explorations so as to unlock our path to the future always-on, personalised and life-enhancing egocentric vision.
An outlook into the future of egocentric vision / Plizzari, Chiara; Goletto, Gabriele; Furnari, Antonino; Bansal, Siddhant; Ragusa, Francesco; Maria Farinella, Giovanni; Damen, Dima; Tommasi, Tatiana. - In: INTERNATIONAL JOURNAL OF COMPUTER VISION. - ISSN 0920-5691. - (2024). [10.1007/s11263-024-02095-7]
An outlook into the future of egocentric vision
Chiara Plizzari;Gabriele Goletto;Tatiana Tommasi
2024
Abstract
What will the future be? We wonder! In this survey, we explore the gap between current research in egocentric vision and the ever-anticipated future, where wearable computing, with outward facing cameras and digital overlays, is expected to be integrated in our every day lives. To understand this gap, the article starts by envisaging the future through character-based stories, showcasing through examples the limitations of current technology. We then provide a mapping between this future and previously defined research tasks. For each task, we survey its seminal works, current state-of-the-art methodologies and available datasets, then reflect on shortcomings that limit its applicability to future research. Note that this survey focuses on software models for egocentric vision, independent of any specific hardware. The paper concludes with recommendations for areas of immediate explorations so as to unlock our path to the future always-on, personalised and life-enhancing egocentric vision.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2987995