Abstract: In view of the problem that the railway post monitoring video needs a lot of manpower to view, a human posture detection system was designed and implemented to realize 7 × 24 h uninterrupted intelligent detection.This paper used the human posture detection algorithm to extract the key points of the human body, constructed the feature vector, obtained the posture category through the support vector machine classification algorithm, judged whether there was abnormal behavior through the sliding window method, and carried on the local reminder and remote alarm when there was abnormal. The system was tested in the railway operation room and locomotive cab. The results show that the recall rate and accuracy rate of abnormal behavior are above 97%, which has practical value and can provide an effective method for railway post management and control.