Y Kong, Y Fu - International Journal of Computer Vision, 2022 - Springer
Derived from rapid advances in computer vision and machine learning, video analysis tasks have been moving from inferring the present state to predicting the future state. Vision-based …
C Wang, J Yan - IEEE Access, 2023 - ieeexplore.ieee.org
With the advancement of computer vision, human action recognition (HAR) has shown its broad research worth and application prospects in a wide range of fields such as intelligent …
Abstract Deep Recurrent Neural Network architectures, though remarkably capable at modeling sequences, lack an intuitive high-level spatio-temporal structure. That is while …
Every moment counts in action recognition. A comprehensive understanding of human activity in video requires labeling every frame according to the actions occurring, placing …
Human activity recognition (HAR) is a complex and multifaceted problem. The research community has reported numerous approaches to perform HAR. Along with HAR …
HS Koppula, A Saxena - IEEE transactions on pattern analysis …, 2015 - ieeexplore.ieee.org
An important aspect of human perception is anticipation, which we use extensively in our day-to-day activities when interacting with other humans as well as with our surroundings …
Lifelogging is the process of digital tracking of person's daily experiences for a variety of purposes. In recent years, lifelogging has become an increasingly popular area of research …
HS Koppula, R Gupta… - The International journal …, 2013 - journals.sagepub.com
Understanding human activities and object affordances are two very important skills, especially for personal robots which operate in human environments. In this work, we …
Joint segmentation and classification of fine-grained actions is important for applications of human-robot interaction, video surveillance, and human skill evaluation. However, despite …