移動目標(biāo)的快速識別算法

本文針對現(xiàn)有技術(shù)中存在的問題提出一種對復(fù)雜背景下的多個移動物體進(jìn)行目標(biāo)快速識別與跟蹤的復(fù)合算法。該算法中采用對連續(xù)圖像進(jìn)行差影計(jì)算來確定移動目標(biāo)區(qū)域，從而能去除復(fù)雜背景干擾，可以明顯提高目標(biāo)識別的速度和準(zhǔn)確率。該系統(tǒng)已被實(shí)驗(yàn)證明其有效性和實(shí)用性，可廣泛應(yīng)用于監(jiān)測與識別系統(tǒng)，也可應(yīng)用于無人監(jiān)控，無人自主操作等各種領(lǐng)域。本文中所提到的算法現(xiàn)為國家某重點(diǎn)項(xiàng)目中的關(guān)鍵技術(shù)。
關(guān)鍵字：差影算法圖像分割閾值 連通線 灰度值；
中圖文分類號TP274
Abstract: In this paper, we mention a multiple arithmetic in allusion to the problem of existing technology which can recognize and track the target among many motive objects in complex background. This arithmetic can determinate the area of motive target through the difference calculating of consecutive image, which can get rid of the interference of complex background, then improve the speed and exactitude of recognizing target obviously. This system has been proved efficiency and utility by test, which can broadly apply not only in the system of inspection and recognition but also the realm of self-control and self-operation etc.
Key words: different shadow arithmetic/image segmentation/threshold value/consecutive line/gray degree;