For better user experience, refer to the Web official document -> Key Points Detection
Pose Estimation refers to the detection of key points in the human body, such as joints, facial features, and so on. It describes information about the human skeleton through these key points. Pose estimation is essential for describing human posture and predicting human behaviors. It is the basis for many computer vision tasks, such as motion classification, abnormal behavior detection, and automated driving.
- Recommended Models
| Model Name | Model Introduction |
|---|---|
| Single Person - Pose Estimation | It can be used in behavior recognition, person tracking, gait recognition and other related fields. Specific applications include intelligent video surveillance, patient monitoring systems, human-computer interaction, virtual reality, human animation, smart home, intelligent security, athlete training, and so on. |
| Multi Person - Pose Estimation | It can be used in behavior recognition, person tracking, gait recognition and other related fields. Specific applications include intelligent video surveillance, patient monitoring systems, human-computer interaction, virtual reality, human animation, smart home, intelligent security, athlete training, and so on. |
| Facial Key Points Detection | It can be used for face recognition, expression analysis, 3D face reconstruction, 3D animation and other face-related issues. It supports multiple face detection in the same picture. |
| Hand Key Point Detection | It can be used for gesture recognition. In combination with Pose Estimation, it can be used for abnormal behavior detection and many other scenarios. |