Lagrangian theory provides a rich set of tools for analyzing non-local, long-term motion information in computer vision applications. Based on this theory, we present a specialized …
G Schröder, T Senst, E Bochinski… - 2018 15th IEEE …, 2018 - ieeexplore.ieee.org
The performance of optical flow algorithms greatly depends on the specifics of the content and the application for which it is used. Existing and well established optical flow datasets …
M Simon, E Bochinski, M Küchhold… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Bottleneck situations can occur in overcrowded areas such as entrances or narrowed passages and are associated with a great danger to the life and health of involved people …
Flow segmentation based on similar motion patterns in crowded scenes remains an open problem in computer vision due to inherent complexity and vast diversity found in such …
Lagrangian theory provides a diverse set of tools for continuous motion analysis. Existing work shows the applicability of Lagrangian methods for video analysis in several aspects. In …
Modeling of crowd and pedestrian dynamics has intrigued engineers, physicists, and sociologists alike, even in recent times. Scientists have long sought to model the collective …
S Xie, Y Guan - Multimedia Tools and Applications, 2016 - Springer
Automatically detecting anomaly in surveillance videos is a crucial issue for social security. Motion instability based online abnormal behaviors detection has been developed in an …
The availability of dense motion information in computer vision domain allows for the effective application of Lagrangian techniques that have their origin in fluid flow analysis and …