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A comprehensive survey of rgb-based and skeleton-based human action recognition
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 …
broad research worth and application prospects in a wide range of fields such as intelligent …
Toward human activity recognition: a survey
Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …
community has reported numerous approaches to perform HAR. Along with HAR …
Asformer: Transformer for action segmentation
Algorithms for the action segmentation task typically use temporal models to predict what
action is occurring at each frame for a minute-long daily activity. Recent studies have shown …
action is occurring at each frame for a minute-long daily activity. Recent studies have shown …
Human action recognition and prediction: A survey
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 …
have been moving from inferring the present state to predicting the future state. Vision-based …
Overview of lifelogging: current challenges and advances
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 …
purposes. In recent years, lifelogging has become an increasingly popular area of research …
Structural-rnn: Deep learning on spatio-temporal graphs
Abstract Deep Recurrent Neural Network architectures, though remarkably capable at
modeling sequences, lack an intuitive high-level spatio-temporal structure. That is while …
modeling sequences, lack an intuitive high-level spatio-temporal structure. That is while …
Every moment counts: Dense detailed labeling of actions in complex videos
Every moment counts in action recognition. A comprehensive understanding of human
activity in video requires labeling every frame according to the actions occurring, placing …
activity in video requires labeling every frame according to the actions occurring, placing …
Anticipating human activities using object affordances for reactive robotic response
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 …
day-to-day activities when interacting with other humans as well as with our surroundings …
Learning human activities and object affordances from rgb-d videos
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 …
especially for personal robots which operate in human environments. In this work, we …
Segmental spatiotemporal cnns for fine-grained action segmentation
Joint segmentation and classification of fine-grained actions is important for applications of
human-robot interaction, video surveillance, and human skill evaluation. However, despite …
human-robot interaction, video surveillance, and human skill evaluation. However, despite …