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Human action recognition from various data modalities: A review
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …
each action. It has a wide range of applications, and therefore has been attracting increasing …
Transfer learning enhanced vision-based human activity recognition: A decade-long analysis
The discovery of several machine learning and deep learning techniques has paved the
way to extend the reach of humans in various real-world applications. Classical machine …
way to extend the reach of humans in various real-world applications. Classical machine …
Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding
Research on depth-based human activity analysis achieved outstanding performance and
demonstrated the effectiveness of 3D representation for action recognition. The existing …
demonstrated the effectiveness of 3D representation for action recognition. The existing …
Ntu rgb+ d: A large scale dataset for 3d human activity analysis
Recent approaches in depth-based human activity analysis achieved outstanding
performance and proved the effectiveness of 3D representation for classification of action …
performance and proved the effectiveness of 3D representation for classification of action …
Robust human activity recognition from depth video using spatiotemporal multi-fused features
The recently developed depth imaging technologies have provided new directions for
human activity recognition (HAR) without attaching optical markers or any other motion …
human activity recognition (HAR) without attaching optical markers or any other motion …
Enhanced computer vision with microsoft kinect sensor: A review
With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual
(RGB) sensing has become available for widespread use. The complementary nature of the …
(RGB) sensing has become available for widespread use. The complementary nature of the …
Vision-based human action recognition: An overview and real world challenges
Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …
become one of the most attractive research fields. Ambiguities in recognizing actions does …
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 …
Pku-mmd: A large scale benchmark for continuous multi-modal human action understanding
Despite the fact that many 3D human activity benchmarks being proposed, most existing
action datasets focus on the action recognition tasks for the segmented videos. There is a …
action datasets focus on the action recognition tasks for the segmented videos. There is a …
Spatio-temporal depth cuboid similarity feature for activity recognition using depth camera
Local spatio-temporal interest points (STIPs) and the resulting features from RGB videos
have been proven successful at activity recognition that can handle cluttered backgrounds …
have been proven successful at activity recognition that can handle cluttered backgrounds …