Research Article
Fall Detection and Direction Judgment Based on Posture Estimation
| | Input: A group of image sequence or video frame sequence | | | Output: If a fall occurs, the corresponding joint point set is output; otherwise, the output is null. | | (1) | While < total sequence length do: | | (2) | Extract feature maps from ; | | (3) | Judge the category of anchors through softmax; | | (4) | Regression proposal; | | (5) | Unifying feature shapes through ROI pooling; | | (6) | Get bounding box BBX = ; | | (7) | Calculate the joint confidence: ; | | (8) | Calculate the joint point affinity vector; | | (9) | Calculation sequence Xi coordinate positions of each joint point, Positions = ; | | (10) | Filter out the qualified coordinates: Position = ; | | (11) | If SVM(Position) = = “fall” | | (12) | When the human body is in a falling state, return the predicted position; | | (13) | End if | | (14) | Else | | (15) | Next frame; | | (16) | End while |
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