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The HOG feature was not scale invariance and could only detect the targets which had similar size with sample image in practical application, proposed a method of head detection based on multi-scale windows fusion. The HOG features were extracted and the support vector machinewas used as classifier. In real-time detection of moving targets, the Gaussian Pyramid was used to make multi-scale decomposition for a sequence of input video frames, and got frames of different resolutions, and then run head detection at different scales and storage result. To improve the detection accuracy and efficiency, all detection results of each scale space were fused and got their corresponding locations signs. One monitoring video was tested, and the experiment results showed that the proposed method could improve the detection rate, recall and detection accuracy.