EGO-CH: Dataset and fundamental tasks for visitors behavioral understanding using egocentric vision

• Published in: Pattern recognition letters Vol. 131; pp. 150 - 157
• Main Authors: Ragusa, Francesco, Furnari, Antonino, Battiato, Sebastiano, Signorello, Giovanni, Farinella, Giovanni Maria
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.03.2020; Elsevier Science Ltd
• Subjects: Augmented reality; Computer vision; Cultural factors; Cultural heritage; Cultural resources; Datasets; Egocentric vision; First person vision; Historic sites; Learning algorithms; Localization; Machine learning; Object detection; Object recognition; Object retrieval; Pattern recognition; Wearable technology; First person vision; Egocentric vision; Localization; Object retrieval; Object detection

•We propose a dataset of egocentric videos for visitor behavior understanding.•Collected by 70 subjects, the data has labels for locations and points of interest.•We propose four tasks for visitor behavior understanding in cultural heritage.•Experiments highlight that the proposed dataset can be a v...