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 …
The use of pervasive sensing for behaviour profiling—a survey
L Atallah, GZ Yang - Pervasive and mobile computing, 2009 - Elsevier
With the maturity of sensing and pervasive computing techniques, extensive research is
being carried out in using different sensing techniques for understanding human behaviour …
being carried out in using different sensing techniques for understanding human behaviour …
Hierarchical aligned cluster analysis for temporal clustering of human motion
Temporal segmentation of human motion into plausible motion primitives is central to
understanding and building computational models of human motion. Several issues …
understanding and building computational models of human motion. Several issues …
Towards the automatic detection of spontaneous agreement and disagreement based on nonverbal behaviour: A survey of related cues, databases, and tools
While detecting and interpreting temporal patterns of nonverbal behavioural cues in a given
context is a natural and often unconscious process for humans, it remains a rather difficult …
context is a natural and often unconscious process for humans, it remains a rather difficult …
Joint segmentation and classification of human actions in video
Automatic video segmentation and action recognition has been a long-standing problem in
computer vision. Much work in the literature treats video segmentation and action …
computer vision. Much work in the literature treats video segmentation and action …
Understanding video events: A survey of methods for automatic interpretation of semantic occurrences in video
G Lavee, E Rivlin, M Rudzsky - IEEE Transactions on Systems …, 2009 - ieeexplore.ieee.org
Understanding video events, ie, the translation of low-level content in video sequences into
high-level semantic concepts, is a research topic that has received much interest in recent …
high-level semantic concepts, is a research topic that has received much interest in recent …
Selective spatio-temporal interest points
Recent progress in the field of human action recognition points towards the use of Spatio-
Temporal Interest Points (STIPs) for local descriptor-based recognition strategies. In this …
Temporal Interest Points (STIPs) for local descriptor-based recognition strategies. In this …
Action detection in complex scenes with spatial and temporal ambiguities
In this paper, we investigate the detection of semantic human actions in complex scenes.
Unlike conventional action recognition in well-controlled environments, action detection in …
Unlike conventional action recognition in well-controlled environments, action detection in …
Tracklet descriptors for action modeling and video analysis
We present spatio-temporal feature descriptors that can be inferred from video and used as
building blocks in action recognition systems. They capture the evolution of “elementary …
building blocks in action recognition systems. They capture the evolution of “elementary …
The action similarity labeling challenge
Recognizing actions in videos is rapidly becoming a topic of much research. To facilitate the
development of methods for action recognition, several video collections, along with …
development of methods for action recognition, several video collections, along with …