A5061843360- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Forensic Anthropology and Bioarchaeology Studies
- Data Visualization and Analytics
- Autonomous Vehicle Technology and Safety
- Anomaly Detection Techniques and Applications
Genomic Vision (France)
2024-2025
Institut de Biologie Valrose
2021
Université Côte d'Azur
2021
We present the CREATTIVE3D dataset of human interaction and navigation at road crossings in virtual reality. The has three main breakthroughs: (1) it is largest motion fully-annotated scenarios (40 hours, 2.6 million poses), (2) captured dynamic 3D scenes with multivariate – gaze, physiology, data, (3) investigates impact simulated low-vision conditions using eye tracking under real walking conditions. Extensive effort been made to ensure transparency, usability, reproducibility study...
This work tackles the challenge of predicting human trajectories while carrying out complex tasks in contextually-rich virtual environments. We evaluate CREATIVE3D multimodal dataset on interaction and navigation 3D reality (VR). In dataset, navigating traffic crossings with simulated visual impairments are used as an example or unpredictable situations. establish evaluations for a base multi-layer perceptron (MLP) two state-of-the-art models: TRACK (RNN) GIMO (transformer), varying levels...
Virtual environments provide a rich and controlled setting for collecting detailed data on human behavior, offering unique opportunities predicting trajectories in dynamic scenes. However, most existing approaches have overlooked the potential of these environments, focusing instead static contexts without considering userspecific factors. Employing CREATTIVE3D dataset, our work models recorded virtual reality (VR) scenes diverse situations including road-crossing tasks with user...