Human Action Recognition

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Human Action Recognition

This lecture overviews Human Action Recognition (HAR) that has many applications in semantic video content description, indexing, retrieval, video surveillance and Human – Computer Interaction (HCI).  It covers the following topics in detail: Human Action Recognition (HAR) definition and data, Single-view HAR, Multiview HAR 3D HAR Neural HAR, GCN-based HAR and several Human Action Recognition… Continue reading Human Action Recognition

Ηuman Body Posture and Pose Estimation

This lecture overviews Ηuman Body Posture and Pose Estimation that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Human body models: 2D Skeletons, 3D Skeletons, MPEG-4 models. 2D human body posture estimation. 3D human body posture estimation. 2D Human body pose estimation. 3D Human body pose estimation. Facial… Continue reading Ηuman Body Posture and Pose Estimation

Facial Expression Recognition

This lecture overviews Facial Expression Recognition that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Classical Facial Expression Recognition: Grid-Based Methods, Subspace methods. DNN Facial Expression Recognition: DNN Facial Expression Recognition on static images, DNN Facial Expression Recognition on videos. 3D Facial… Continue reading Facial Expression Recognition

Visual Speech Recognition

This lecture overviews Visual Speech Recognition that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Visual Speech Recognition: Visemes and Phonemes, Face detection, Landmark Localization, Lip reading, Speech reading beyond the lips. Audio-Visual Speech Recognition. Deep Audio-Visual Speech Recognition: Convolutional Neural Networks. Recurrent Neural Networks. Overlapped speech.… Continue reading Visual Speech Recognition

Facial Feature Detection

This lecture overviews Facial Feature Detection that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Face Description Models (FDP/FAP, CANDIDE). Eyes detection. Mouth and lip detection. Eyebrows, nose, chin detection.  DNN Facial Feature Detection. Dynamic 3D face modeling.