VisLoiter+

Sandifort, M.L.T.L.; Liu, Jianquan; Nishimura, Shoji; Hürst, Wolfgang

doi:10.1145/3206025.3206091

Cited by 2 publications

References 10 publications

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The future of biometrics technology: from face recognition to related applications

Imaoka

Hashimoto

Takahashi

et al. 2021

SIP

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Biometric recognition technologies have become more important in the modern society due to their convenience with the recent informatization and the dissemination of network services. Among such technologies, face recognition is one of the most convenient and practical because it enables authentication from a distance without requiring any authentication operations manually. As far as we know, face recognition is susceptible to the changes in the appearance of faces due to aging, the surrounding lighting, and posture. There were a number of technical challenges that need to be resolved. Recently, remarkable progress has been made thanks to the advent of deep learning methods. In this position paper, we provide an overview of face recognition technology and introduce its related applications, including face presentation attack detection, gaze estimation, person re-identification and image data mining. We also discuss the research challenges that still need to be addressed and resolved.

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The future of biometrics technology: from face recognition to related applications

Imaoka

Hashimoto

Takahashi

et al. 2021

SIP

Self Cite

View full text Add to dashboard Cite

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Interactivity Proposals for Surveillance Videos

Chen

Mettes

et al. 2020

Proceedings of the 2020 International Conference on Multimedia Retrieval

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This paper introduces spatio-temporal interactivity proposals for video surveillance. Rather than focusing solely on actions performed by subjects, we explicitly include the objects that the subjects interact with. To enable interactivity proposals, we introduce the notion of interactivityness, a score that reflects the likelihood that a subject and object have an interplay. For its estimation, we propose a network containing an interactivity block and geometric encoding between subjects and objects. The network computes local interactivity likelihoods from subject and object trajectories, which we use to link intervals of high scores into spatio-temporal proposals. Experiments on an interactivity dataset with new evaluation metrics show the general benefit of interactivity proposals as well as its favorable performance compared to traditional temporal and spatio-temporal action proposals.

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VisLoiter+

Cited by 2 publications

References 10 publications

The future of biometrics technology: from face recognition to related applications

The future of biometrics technology: from face recognition to related applications

Interactivity Proposals for Surveillance Videos

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