F2SD: a dataset for end-to-end group detection algorithms

Giang Hoang; Tuan Dinh Nguyen; Tung Cao; Son Duy Le; Keisuke Hihara; Yumeka Utada; Akihiko Torii; Naoki Izumi; Thuy Thanh Nguyen; Long Quoc Tran

doi:10.1117/12.2679967

7 June 2023 F2SD: a dataset for end-to-end group detection algorithms

Giang Hoang, Tuan Dinh Nguyen, Tung Cao, Son Duy Le, Keisuke Hihara, Yumeka Utada, Akihiko Torii, Naoki Izumi, Thuy Thanh Nguyen, Long Quoc Tran

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Proceedings Volume 12701, Fifteenth International Conference on Machine Vision (ICMV 2022); 1270108 (2023) https://doi.org/10.1117/12.2679967
Event: Fifteenth International Conference on Machine Vision (ICMV 2022), 2022, Rome, Italy

Abstract

The lack of large-scale datasets has been impeding the advance of deep learning approaches to the problem of F-formation detection. Moreover, most research on this problem rely on input sensor signals of object location and orientation rather than image signals. To address this, we develop a new, large-scale dataset of simulated images for F-formation detection, called F-formation Simulation Dataset (F2SD). F2SD contains nearly 60,000 images simulated from GTA-5, with bounding boxes and orientation information on images, making it useful for a wide variety of modelling approaches. It is also closer to practical scenarios, where three-dimensional location and orientation information are costly to record. It is challenging to construct such a large-scale simulated dataset while keeping it realistic. Furthermore, the available research utilizes conventional methods to detect groups. They do not detect groups directly from the image. In this work, we propose (1) a large-scale simulation dataset F2SD and a pipeline for F-formation simulation, (2) a first-ever end-to-end baseline model for the task, and experiments on our simulation dataset.

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Giang Hoang, Tuan Dinh Nguyen, Tung Cao, Son Duy Le, Keisuke Hihara, Yumeka Utada, Akihiko Torii, Naoki Izumi, Thuy Thanh Nguyen, and Long Quoc Tran "F2SD: a dataset for end-to-end group detection algorithms", Proc. SPIE 12701, Fifteenth International Conference on Machine Vision (ICMV 2022), 1270108 (7 June 2023); https://doi.org/10.1117/12.2679967

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KEYWORDS

Computer simulations

RGB color model

Data modeling

Education and training

Cameras

Head

Detection and tracking algorithms

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