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A method of incomplete human feature detection under occlusion is proposed to identify trapped persons in disasters. In light of exposure of human characteristics such as the head and legs, the intersection detection window is constructed, and the features of histogram of oriented gradient ( HOG ) within the targeted image block are redetected. The intra-block features are calculated by combining the sub-unit interpolation method, so that the incomplete human feature detection is feasible on the basis of optimized HOG features. Experimental results show that the optimized human body detection method based on HOG feature calculation can significantly improve the detection speed and accuracy of human detection, and reduce the false detection rate.