The accuracy of motion objects detection is low for outdoor complicated visual surveillance

so a background reconstruction algorithm used in background subtraction motion objects detection is proposed.The algorithm integrates the stabilization duration with appearance frequency

and uses weighted intensity histogram to confirm the background probability of quantity interval.Based on the probability values and distributing

it uses the intensity space correlation to amend the background

and realizes the background reconstruction.The experimental results show that the reconstructed background conquers the influence of motion objects in training phase

and in motion objects detection application

it is applicable in the situation existing background fluctuation and small camera displacements etc

and it improves the accuracy of detection.