no code implementations • 16 Aug 2023 • Philipp Müller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Dominik Schiller, Mohammed Guermal, Dominike Thomas, François Brémond, Jan Alexandersson, Elisabeth André, Andreas Bulling
This paper describes the MultiMediate'23 challenge and presents novel sets of annotations for both tasks.
no code implementations • 7 Dec 2022 • Tanay Agrawal, Michal Balazia, Philipp Müller, François Brémond
Human behavior understanding requires looking at minute details in the large context of a scene containing multiple input modalities.
no code implementations • 26 Jul 2022 • Michal Balazia, Philipp Müller, Ákos Levente Tánczos, August von Liechtenstein, François Brémond
Body language is an eye-catching social signal and its automatic analysis can significantly advance artificial intelligence systems to understand and actively participate in social interactions.
no code implementations • 14 Jun 2022 • Michal Balazia, Katerina Hlavackova-Schindler, Petr Sojka, Claudia Plant
We apply the graphical Granger model (GGM) to obtain the so-called Granger causal graph among joints as a discriminative and visually interpretable representation of a person's gait.
no code implementations • 22 Dec 2021 • Tanay Agrawal, Dhruv Agarwal, Michal Balazia, Neelabh Sinha, Francois Bremond
Personality computing and affective computing have gained recent interest in many research areas.
1 code implementation • 10 Oct 2021 • Neelabh Sinha, Michal Balazia, Francois Bremond
3D gaze estimation is about predicting the line of sight of a person in 3D space.
no code implementations • 9 Feb 2021 • Michal Balazia, S L Happy, Francois Bremond, Antitza Dantcheva
Face recognition has been widely accepted as a means of identification in applications ranging from border control to security in the banking sector.
no code implementations • 24 Aug 2017 • Michal Balazia, Petr Sojka
This paper contributes to the state-of-the-art with a statistical approach for extracting robust gait features directly from raw data by a modification of Linear Discriminant Analysis with Maximum Margin Criterion.
no code implementations • 28 Jun 2017 • Michal Balazia, Petr Sojka
This work offers a design of a video surveillance system based on a soft biometric -- gait identification from MoCap data.
no code implementations • 4 Jan 2017 • Michal Balazia, Petr Sojka
As a contribution to reproducible research, this paper presents a framework and a database to improve the development, evaluation and comparison of methods for gait recognition from motion capture (MoCap) data.
no code implementations • 22 Sep 2016 • Michal Balazia, Petr Sojka
MoCap-based human identification, as a pattern recognition discipline, can be optimized using a machine learning approach.
no code implementations • 14 Sep 2016 • Michal Balazia, Petr Sojka
In the field of gait recognition from motion capture data, designing human-interpretable gait features is a common practice of many fellow researchers.