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 …
Advances in human action recognition: A survey
G Cheng, Y Wan, AN Saudagar, K Namuduri… - arXiv preprint arXiv …, 2015 - arxiv.org
Human action recognition has been an important topic in computer vision due to its many
applications such as video surveillance, human machine interaction and video retrieval. One …
applications such as video surveillance, human machine interaction and video retrieval. One …
Human action recognition with video data: research and evaluation challenges
M Ramanathan, WY Yau… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Given a video sequence, the task of action recognition is to identify the most similar action
among the action sequences learned by the system. Such human action recognition is …
among the action sequences learned by the system. Such human action recognition is …
[图书][B] Computer vision and action recognition: A guide for image processing and computer vision community for action understanding
MAR Ahad - 2011 - books.google.com
Human action analyses and recognition are challenging problems due to large variations in
human motion and appearance, camera viewpoint and environment settings. The field of …
human motion and appearance, camera viewpoint and environment settings. The field of …
Vision-based human action recognition: An overview and real world challenges
Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …
become one of the most attractive research fields. Ambiguities in recognizing actions does …
A discriminative model with multiple temporal scales for action prediction
The speed with which intelligent systems can react to an action depends on how soon it can
be recognized. The ability to recognize ongoing actions is critical in many applications, for …
be recognized. The ability to recognize ongoing actions is critical in many applications, for …
Attention-aware sampling via deep reinforcement learning for action recognition
Deep learning based methods have achieved remarkable progress in action recognition.
Existing works mainly focus on designing novel deep architectures to achieve video …
Existing works mainly focus on designing novel deep architectures to achieve video …
Action recognition by hierarchical mid-level action elements
Realistic videos of human actions exhibit rich spatiotemporal structures at multiple levels of
granularity: an action can always be decomposed into multiple finer-grained elements in …
granularity: an action can always be decomposed into multiple finer-grained elements in …
From handcrafted to learned representations for human action recognition: A survey
Human action recognition is an important branch among the studies of both human
perception and computer vision systems. Along with the development of artificial …
perception and computer vision systems. Along with the development of artificial …
Review of action recognition and detection methods
SM Kang, RP Wildes - arXiv preprint arXiv:1610.06906, 2016 - arxiv.org
In computer vision, action recognition refers to the act of classifying an action that is present
in a given video and action detection involves locating actions of interest in space and/or …
in a given video and action detection involves locating actions of interest in space and/or …