針對室內(nèi)安全監(jiān)控的場景特點,提出一種穩(wěn)健的運動目標(biāo)檢測方法,對每個背景像素使
用多個矢量表示,利用當(dāng)前幀和背景幀像素的色度分量差分進(jìn)行運動檢測,并選擇性地更新背景模型。實驗表明,該方法能有效消除背景中振動對象的干擾,提高運動目標(biāo)檢測的準(zhǔn)確性,有利于消除由于虛假目標(biāo)而導(dǎo)致的誤報警。
關(guān)鍵字:視頻序列;運動目標(biāo)檢測;背景差分;背景更新
Abstract: According to the characteristic of the indoor surveillance, this paper presents a robust method for moving object detection, which gives multi vectors for each background pixel, and detects moving object via the chroma difference of the current and background image, at the same time the background model can be selectively updated. The experiments show this method can eliminate the swaying objects in the background and improve the detection of moving objects and reject false alarms.
Keywords: video sequences; moving object detection; background subtraction; background
update