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For the defects of the existing anti-pinch protection device, an anti-pinch detection algorithm is proposed to detect objects in the elevator door area. First, an improved bilateral filtering method is used to remove the noise of the video frame and background image. Then, a difference image of the video frame and the background image is calculated, and the maximum entropy particle swarm optimization algorithm is employed to obtain binary image of the difference image. Next, objects in the door area are detected from the binary image by morphology processing. Final, the Surendra algorithm is adopted to update the background image. Experimental results show that the proposed algorithm can detect objects accurately in the elevator door area. It provides a reliable guarantee for the improved anti-pinch function of elevator door.