FIGURE 2.

Pipeline of proposed framework. The proposed framework extends Caffe-Heatmap to improve pose estimation of patient video recorded in clinical environments. Prior to estimation, a new patient-specific CNN model is trained using a subset of preprocessed video frames that maximizes feature variance (①). This model is then used to estimate the joint positions of the same patient from additional video, which are then refined using a Kalman filter with noise parameters trained using another subset of preprocessed frames (②). This work used 2,000 frames for ① and 500 frames for ②.