A survey of video datasets for human action and activity recognition
JM Chaquet, EJ Carmona… - Computer Vision and …, 2013 - Elsevier
Vision-based human action and activity recognition has an increasing importance among
the computer vision community with applications to visual surveillance, video retrieval and …
the computer vision community with applications to visual surveillance, video retrieval and …
A review of motion analysis methods for human nonverbal communication computing
Human Nonverbal Communication Computing aims to investigate how people exploit
nonverbal aspects of their communication to coordinate their activities and social …
nonverbal aspects of their communication to coordinate their activities and social …
Motion interchange patterns for action recognition in unconstrained videos
Action Recognition in videos is an active research field that is fueled by an acute need,
spanning several application domains. Still, existing systems fall short of the applications' …
spanning several application domains. Still, existing systems fall short of the applications' …
Video event recognition using concept attributes
We propose to use action, scene and object concepts as semantic attributes for classification
of video events in InTheWild content, such as YouTube videos. We model events using a …
of video events in InTheWild content, such as YouTube videos. We model events using a …
Consistency and diversity induced human motion segmentation
Subspace clustering is a classical technique that has been widely used for human motion
segmentation and other related tasks. However, existing segmentation methods often cluster …
segmentation and other related tasks. However, existing segmentation methods often cluster …
Directed acyclic graph kernels for action recognition
L Wang, H Sahbi - … of the IEEE International Conference on …, 2013 - openaccess.thecvf.com
One of the trends of action recognition consists in extracting and comparing mid-level
features which encode visual and motion aspects of objects into scenes. However, when …
features which encode visual and motion aspects of objects into scenes. However, when …
On combining image-based and ontological semantic dissimilarities for medical image retrieval applications
Computer-assisted image retrieval applications can assist radiologists by identifying similar
images in archives as a means to providing decision support. In the classical case, images …
images in archives as a means to providing decision support. In the classical case, images …
Action recognition using nonnegative action component representation and sparse basis selection
In this paper, we propose using high-level action units to represent human actions in videos
and, based on such units, a novel sparse model is developed for human action recognition …
and, based on such units, a novel sparse model is developed for human action recognition …
Diffusion maps based k-nearest-neighbor rule technique for semiconductor manufacturing process fault detection
Y Li, X Zhang - Chemometrics and Intelligent Laboratory Systems, 2014 - Elsevier
In the semiconductor industry, traditional multivariate statistical process monitoring methods
and pattern classification based detection methods have been developed to detect the …
and pattern classification based detection methods have been developed to detect the …
Semi-supervised cross-modality action recognition by latent tensor transfer learning
Microsoft's Kinect sensors are receiving an increasing amount of interests by security
researchers since they are cost-effective and can provide both visual and depth modality …
researchers since they are cost-effective and can provide both visual and depth modality …