关键词: [&sum, -&Delta, ]背景检测, 拉普拉斯分布模型, 静止物体检测

Abstract: In view of static objects detection in surveillance video, this paper proposes a method to solve above problem based on Laplacian distribution model. To begin with, the background modeling procedure of [∑-Δ] method is improved to abstract fast the background of video and form the primary background. And then, Laplacian distribution model is introduced to the primary background so that to abstract video self-adaptive dynamic background accurately which can reflect the background of video better. At last, the absolute difference between the primary background and dynamic background is used to detect the static objects. Experimental results prove the validity of this method to detect static luggage based on video standard databases and this method is robust in some complex scenes including crowded and illumination change.

Key words: [∑-Δ] background detection, Laplacian distribution model, static objects detection