Abstract: Disclosed herein is method and system for detecting pose of a subject in real-time. In an embodiment, nodal points corresponding to the subject may be identified and used for identifying skeleton pose of the subject. Thereafter, a feature descriptor for the skeleton pose may be computed based on the nodal points. Further, the feature descriptor of the skeleton pose may be compared with predetermined feature descriptors for detecting the pose of the subject as predefined pose corresponding to one of the predetermined feature descriptors used for the comparison. The method of present disclosure makes accurate pose detection from a two-dimensional image of the subject, using a pose detection model, which is pre-trained with predetermined feature descriptors and deep learning techniques.

Abstract: Disclosed herein is method and system for detecting pose of a subject in real-time. In an embodiment, nodal points corresponding to the subject may be identified and used for identifying skeleton pose of the subject. Thereafter, a feature descriptor for the skeleton pose may be computed based on the nodal points. Further, the feature descriptor of the skeleton pose may be compared with predetermined feature descriptors for detecting the pose of the subject as predefined pose corresponding to one of the predetermined feature descriptors used for the comparison. The method of present disclosure makes accurate pose detection from a two-dimensional image of the subject, using a pose detection model, which is pre-trained with predetermined feature descriptors and deep learning techniques.