Cross-view action modeling, learning and recognition
Existing methods on video-based action recognition are generally view-dependent, ie,
performing recognition from the same views seen in the training data. We present a novel …
performing recognition from the same views seen in the training data. We present a novel …
A survey on vision-based human action recognition
R Poppe - Image and vision computing, 2010 - Elsevier
Vision-based human action recognition is the process of labeling image sequences with
action labels. Robust solutions to this problem have applications in domains such as visual …
action labels. Robust solutions to this problem have applications in domains such as visual …
Dark, beyond deep: A paradigm shift to cognitive ai with humanlike common sense
Recent progress in deep learning is essentially based on a “big data for small tasks”
paradigm, under which massive amounts of data are used to train a classifier for a single …
paradigm, under which massive amounts of data are used to train a classifier for a single …
Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers
Video recordings of earthmoving construction operations provide understandable data that
can be used for benchmarking and analyzing their performance. These recordings further …
can be used for benchmarking and analyzing their performance. These recordings further …
[HTML][HTML] Vision-based human action quality assessment: A systematic review
Abstract Human Action Quality Assessment (AQA), which aims to automatically evaluate the
performance of actions executed by humans, is an emerging field of human action analysis …
performance of actions executed by humans, is an emerging field of human action analysis …
Joint action recognition and pose estimation from video
B Xiaohan Nie, C Xiong… - Proceedings of the IEEE …, 2015 - openaccess.thecvf.com
Action recognition and pose estimation from video are closely related tasks for
understanding human motion, most methods, however, learn separate models and combine …
understanding human motion, most methods, however, learn separate models and combine …
Recognizing human actions by learning and matching shape-motion prototype trees
A shape-motion prototype-based approach is introduced for action recognition. The
approach represents an action as a sequence of prototypes for efficient and flexible action …
approach represents an action as a sequence of prototypes for efficient and flexible action …
Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers
R Akhavian, AH Behzadan - Advanced Engineering Informatics, 2015 - Elsevier
Although activity recognition is an emerging general area of research in computer science,
its potential in construction engineering and management (CEM) domain has not yet been …
its potential in construction engineering and management (CEM) domain has not yet been …
Region-sequence based six-stream CNN features for general and fine-grained human action recognition in videos
This paper addresses the problems of both general and also fine-grained human action
recognition in video sequences. Compared with general human actions, fine-grained action …
recognition in video sequences. Compared with general human actions, fine-grained action …
Cost-sensitive top-down/bottom-up inference for multiscale activity recognition
This paper addresses a new problem, that of multiscale activity recognition. Our goal is to
detect and localize a wide range of activities, including individual actions and group …
detect and localize a wide range of activities, including individual actions and group …