Detection algorithm for infrared moving objects based on gray delaminating

In order to decrease the missing rate and false rate simultaneity of the moving objects detection in the infrared image sequence with a complex background, an algorithm based on gray delaminating for temporal differencing is presented. According to the properties of the infrared image, the current image is segmented to two layers by an adaptive threshold. The proposed algorithm adopts the pixels differencing based on the local areas instead of the traditional pixels differencing based on the space coordiate, uses the detection results with high confidence in the high -gray level to induce the detection in the low -gray level. Experimental results show that the algorithm can be used for kinds of objects detection effectively, with high real-time and robustness perfonnance.