然后介绍了介绍交通场景中运动车辆信息的获取方法，包括摄像机标定、车辆检测和定位、车辆跟踪方法。
Then it describes the method of getting information of moving cars from the real traffic scenes, including camera calibration, vehicle detection and location, vehicle tracking method.
我能观赏莫斯科红场的日出，观看密歇根州一群木工蚁来回忙碌，还能看到伦敦·特拉法尔加广场的交通场景。
I can watch the sun rise over Moscow's Red Square, the comings and goings in a carpenter ant colony in Michigan or the traffic in London's Trafalgar Square.
将现有两种目标跟踪算法(区域跟踪和角点跟踪)进行改进，提出一种适合于交通场景下的多目标(车辆)跟踪算法。
A new multi-object vehicle tracking algorithm suited for traffic surveillance is presented based on two kinds of object tracking algorithms (region tracking and corner tracking).
这几个模块是汽车驾驶模拟器系统中的控制核心，分布式交互系统中数据传输的核心，以及虚拟交通场景的重要组成部分。
These are the core of the control system in driving simulator and data transfer in distributing interactive system, and an important component of virtual traffic scenes.
这幅漫画描述了街上糟糕的交通堵塞的场景。
The picture depicts a scenario of a terrible traffic jam in the street.
研究表明，在公共交通工具上或外出就餐时“丢失的”钱包从未被归还，与此境遇相同的场景还有咖啡厅和火车，如果你在这些地方遗失钱包的话，那么赶紧和你的物品吻别吧。
According to the study, you can kiss your belongings goodbye if you lose your wallet in a cafe or on a train as none of the wallets "dropped" on public transport or while dining out were returned.
动态视景的设计实现了危险场景的设置，为道路交通模拟器应用于驾驶员行为研究奠定了基础。
Dynamic visual scene design realized the setting of Dangerous scene and it established the foundation of study driver's behavior by road traffic simulator.
在构造城市交通虚拟场景时，需要大量使用基于虚拟现实的可视化立交桥数据。
Additionally, generating virtual scene of city traffic need using a great deal of visual data of crossroads basing on virtual reality.
在系统中，模拟了各种道路、天气及复杂的交通状况，且专门设置了危险场景以训练驾驶员对于危险情况的处理。
This system can simulate many kinds of roads, weather and the complicated traffic situation. In order to train the novice driver to deal with dangerous situation, a danger scene is set in the system.
道路都挤满了汽车，自行车和行人交通堵塞，公交车延误，交通事故是一种常见的场景。
The roads are packed with cars, bicycles and pedestrians and traffic jams, bus delays and traffic accidents are a common scene.
城市交通环境场景是以武汉市余家头区域的部分路网为基础，包括道路、建筑物、信号灯、车辆、行人和建筑物等。
There are roads, traffic signs, signal lamps, vehicles and pedestrians, building and so on in the urban transport scene.
本文对自然场景中道路交通标志检测方法进行了研究，总结出一套道路交通标志实时检测算法。
In this paper, traffic signs detection methods in the natural scenes are studied, and then a real-time traffic signs detection algorithm is summarized.
本文对自然场景中道路交通标志检测方法进行了研究，总结出一套道路交通标志实时检测算法。
In this paper, traffic signs detection methods in the natural scenes are studied, and then a real-time traffic signs detection algorithm is summarized.
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