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pro vyhledávání: '"Ehsanpour, Mahsa"'
For a complete comprehension of multi-person scenes, it is essential to go beyond basic tasks like detection and tracking. Higher-level tasks, such as understanding the interactions and social activities among individuals, are also crucial. Progress
Externí odkaz:
http://arxiv.org/abs/2404.05578
The availability of large-scale video action understanding datasets has facilitated advances in the interpretation of visual scenes containing people. However, learning to recognise human actions and their social interactions in an unconstrained real
Externí odkaz:
http://arxiv.org/abs/2106.08827
Autor:
Adeli, Vida, Ehsanpour, Mahsa, Reid, Ian, Niebles, Juan Carlos, Savarese, Silvio, Adeli, Ehsan, Rezatofighi, Hamid
Publikováno v:
IEEE/CVF International Conference on Computer Vision, pp. 13390-13400. 2021
Joint forecasting of human trajectory and pose dynamics is a fundamental building block of various applications ranging from robotics and autonomous driving to surveillance systems. Predicting body dynamics requires capturing subtle information embed
Externí odkaz:
http://arxiv.org/abs/2104.04029
Autor:
Zhu, Tianyu, Hiller, Markus, Ehsanpour, Mahsa, Ma, Rongkai, Drummond, Tom, Reid, Ian, Rezatofighi, Hamid
Tracking a time-varying indefinite number of objects in a video sequence over time remains a challenge despite recent advances in the field. Most existing approaches are not able to properly handle multi-object tracking challenges such as occlusion,
Externí odkaz:
http://arxiv.org/abs/2103.14829
Wearables are fundamental to improving our understanding of human activities, especially for an increasing number of healthcare applications from rehabilitation to fine-grained gait analysis. Although our collective know-how to solve Human Activity R
Externí odkaz:
http://arxiv.org/abs/2007.07172
The state-of-the art solutions for human activity understanding from a video stream formulate the task as a spatio-temporal problem which requires joint localization of all individuals in the scene and classification of their actions or group activit
Externí odkaz:
http://arxiv.org/abs/2007.02632
Akademický článek
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Publikováno v:
In Computer Networks 20 July 2019 158:175-183