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A mathematical model for computerized car crash detection using computer vision techniques.

機(jī)譯：使用計(jì)算機(jī)視覺(jué)技術(shù)進(jìn)行計(jì)算機(jī)車(chē)禍檢測(cè)的數(shù)學(xué)模型。

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My proposed approach to the automatic detection of traffic accidents in a signalized intersection is presented here. In this method, a digital camera is strategically placed to view the entire intersection. The images are captured, processed and analyzed for the presence of vehicles and pedestrians in the proposed detection zones. Those images are further processed to detect if an accident has occurred.;The mathematical model presented is a Poisson distribution that predicts the number of accidents in an intersection per week, which can be used as approximations for modeling the crash process. We believe that the crash process can be modeled by using a two-state method, which implies that the intersection is in one of two states: clear (no accident) or obstructed (accident). We can then incorporate a rule-based AI system, which will help us in identifying that a crash has taken or will possibly take place.;We have modeled the intersection as a service facility, which processes vehicles in a relatively small amount of time. A traffic accident is then perceived as an interruption of that service.
機(jī)譯：本文介紹了我提出的自動(dòng)檢測(cè)信號(hào)交叉口交通事故的方法。在這種方法中，有策略地放置數(shù)碼相機(jī)以查看整個(gè)路口。捕獲，處理和分析圖像，以便在建議的檢測(cè)區(qū)域中發(fā)現(xiàn)車(chē)輛和行人。這些圖像被進(jìn)一步處理以檢測(cè)是否發(fā)生了事故。所提供的數(shù)學(xué)模型是泊松分布，該泊松分布預(yù)測(cè)每周交叉路口的事故數(shù)量，可用作建模碰撞過(guò)程的近似值。我們認(rèn)為，可以使用兩種狀態(tài)的方法對(duì)碰撞過(guò)程進(jìn)行建模，這意味著相交處在以下兩種狀態(tài)之一：暢通（無(wú)事故）或受阻（事故）。然后，我們可以結(jié)合基于規(guī)則的AI系統(tǒng)，這將幫助我們識(shí)別碰撞已經(jīng)發(fā)生或可能發(fā)生。;我們已將交叉路口建模為服務(wù)設(shè)施，可在相對(duì)較短的時(shí)間內(nèi)處理車(chē)輛。然后，交通事故被視為該服務(wù)的中斷。

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