顧及道路約束條件的動(dòng)態(tài)目標(biāo)檢測(cè)與跟蹤方法
發(fā)布時(shí)間:2018-04-14 00:27
本文選題:道路約束條件 + HSV顏色空間; 參考:《測(cè)繪通報(bào)》2017年05期
【摘要】:智能交通是智慧城市的重要組成部分,面對(duì)復(fù)雜多變的道路背景,如何能夠快速檢測(cè)、跟蹤道路監(jiān)控影像中的動(dòng)態(tài)目標(biāo),是智能交通建設(shè)的關(guān)鍵技術(shù)難點(diǎn)。本文根據(jù)道路監(jiān)控視頻特點(diǎn),提出了采用道路約束條件與顏色特征集相結(jié)合的動(dòng)態(tài)目標(biāo)跟蹤方法,以道路約束條件確定運(yùn)動(dòng)目標(biāo)搜索區(qū)域,利用HSV顏色特征集進(jìn)行特征匹配,然后基于IIR濾波背景法對(duì)背景影像進(jìn)行更新及動(dòng)態(tài)目標(biāo)的檢測(cè),并根據(jù)道路約束條件與顏色特征相結(jié)合跟蹤方法實(shí)現(xiàn)對(duì)動(dòng)態(tài)目標(biāo)的跟蹤及動(dòng)作預(yù)測(cè)。試驗(yàn)結(jié)果表明該方法可準(zhǔn)確對(duì)運(yùn)動(dòng)目標(biāo)進(jìn)行檢測(cè)與跟蹤,且對(duì)慢速運(yùn)動(dòng)目標(biāo)也具有較好的響應(yīng)能力,實(shí)現(xiàn)了對(duì)道路動(dòng)態(tài)目標(biāo)的實(shí)時(shí)檢測(cè)與跟蹤。
[Abstract]:Intelligent transportation is an important part of intelligent city. In the face of complex and changeable road background, how to quickly detect and track the dynamic target in road monitoring image is the key technology difficulty of intelligent transportation construction.According to the video features of road surveillance, this paper proposes a dynamic target tracking method based on road constraint and color feature set. The search region of moving object is determined by road constraint condition, and the feature matching is carried out by using HSV color feature set.Then the background image is updated and the dynamic target is detected based on the IIR filtering background method, and the tracking method based on road constraints and color features is used to track and predict the dynamic target.The experimental results show that the proposed method can detect and track moving targets accurately, and it also has a good response ability to slow moving targets. It realizes the real-time detection and tracking of dynamic targets on roads.
【作者單位】: 河南理工大學(xué)礦山空間信息技術(shù)國(guó)家測(cè)繪地理信息局重點(diǎn)實(shí)驗(yàn)室;
【基金】:2016年度國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2016YFC0803103) 河南省高校創(chuàng)新團(tuán)隊(duì)支持計(jì)劃項(xiàng)目(14IRTSTHN026) 河南省創(chuàng)新型科技創(chuàng)新團(tuán)隊(duì)支持計(jì)劃
【分類(lèi)號(hào)】:TP391.41;U495
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