Video-based facial micro-expression analysis: A survey of datasets, features and algorithms
Unlike the conventional facial expressions, micro-expressions are involuntary and transient
facial expressions capable of revealing the genuine emotions that people attempt to hide …
facial expressions capable of revealing the genuine emotions that people attempt to hide …
A review of human activity recognition methods
Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
Self-supervised attentive generative adversarial networks for video anomaly detection
Video anomaly detection (VAD) refers to the discrimination of unexpected events in videos.
The deep generative model (DGM)-based method learns the regular patterns on normal …
The deep generative model (DGM)-based method learns the regular patterns on normal …
HATS: Histograms of averaged time surfaces for robust event-based object classification
A Sironi, M Brambilla, N Bourdis… - Proceedings of the …, 2018 - openaccess.thecvf.com
Event-based cameras have recently drawn the attention of the Computer Vision community
thanks to their advantages in terms of high temporal resolution, low power consumption and …
thanks to their advantages in terms of high temporal resolution, low power consumption and …
Host–parasite: Graph LSTM-in-LSTM for group activity recognition
This article aims to tackle the problem of group activity recognition in the multiple-person
scene. To model the group activity with multiple persons, most long short-term memory …
scene. To model the group activity with multiple persons, most long short-term memory …
A main directional mean optical flow feature for spontaneous micro-expression recognition
Micro-expressions are brief facial movements characterized by short duration,
involuntariness and low intensity. Recognition of spontaneous facial micro-expressions is a …
involuntariness and low intensity. Recognition of spontaneous facial micro-expressions is a …
Coherence constrained graph LSTM for group activity recognition
This work aims to address the group activity recognition problem by exploring human motion
characteristics. Traditional methods hold that the motions of all persons contribute equally to …
characteristics. Traditional methods hold that the motions of all persons contribute equally to …
Human activity recognition from 3d data: A review
JK Aggarwal, L Xia - Pattern Recognition Letters, 2014 - Elsevier
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 …
Anticipating human activities using object affordances for reactive robotic response
HS Koppula, A Saxena - IEEE transactions on pattern analysis …, 2015 - ieeexplore.ieee.org
An important aspect of human perception is anticipation, which we use extensively in our
day-to-day activities when interacting with other humans as well as with our surroundings …
day-to-day activities when interacting with other humans as well as with our surroundings …
Deep learning on lie groups for skeleton-based action recognition
In recent years, skeleton-based action recognition has become a popular 3D classification
problem. State-of-the-art methods typically first represent each motion sequence as a high …
problem. State-of-the-art methods typically first represent each motion sequence as a high …