Human activity recognition from 3d data: A review
Human activity recognition has been an important area of computer vision research since
the 1980s. Various approaches have been proposed with a great portion of them addressing …
the 1980s. Various approaches have been proposed with a great portion of them addressing …
Intelligent multi-camera video surveillance: A review
X Wang - Pattern recognition letters, 2013 - Elsevier
Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …
vision, pattern recognition, signal processing, communication, embedded computing and …
View adaptive neural networks for high performance skeleton-based human action recognition
Skeleton-based human action recognition has recently attracted increasing attention thanks
to the accessibility and the popularity of 3D skeleton data. One of the key challenges in …
to the accessibility and the popularity of 3D skeleton data. One of the key challenges in …
View adaptive recurrent neural networks for high performance human action recognition from skeleton data
Skeleton-based human action recognition has recently attracted increasing attention due to
the popularity of 3D skeleton data. One main challenge lies in the large view variations in …
the popularity of 3D skeleton data. One main challenge lies in the large view variations in …
A survey of vision-based methods for action representation, segmentation and recognition
Action recognition has become a very important topic in computer vision, with many
fundamental applications, in robotics, video surveillance, human–computer interaction, and …
fundamental applications, in robotics, video surveillance, human–computer interaction, and …
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 …
View-independent action recognition from temporal self-similarities
This paper addresses recognition of human actions under view changes. We explore self-
similarities of action sequences over time and observe the striking stability of such measures …
similarities of action sequences over time and observe the striking stability of such measures …
Cross-view action recognition from temporal self-similarities
This paper concerns recognition of human actions under view changes. We explore self-
similarities of action sequences over time and observe the striking stability of such measures …
similarities of action sequences over time and observe the striking stability of such measures …
Scalable triangulation-based logo recognition
We propose a scalable logo recognition approach that extends the common bag-of-words
model and incorporates local geometry in the indexing process. Given a query image and a …
model and incorporates local geometry in the indexing process. Given a query image and a …
View-invariant human action recognition based on a 3D bio-constrained skeleton model
Skeleton-based human action recognition has been a hot topic in recent years. Most existing
studies are based on the skeleton data obtained from Kinect, which is noisy and unstable, in …
studies are based on the skeleton data obtained from Kinect, which is noisy and unstable, in …