Traffic Scene Understanding Essay

751 Words4 Pages
In recent years, the use of surveillance systems to monitor the streets and highways attracts much attention. On the other hand, due to the large number of cameras all over a city, the memory space required, time consuming problem, and costly use of human operators has led researchers to look for ways to automate the traffic scenes understanding using surveillance cameras. Traffic scene understanding may contain detecting of anomalies such as accidents, identifying traffic levels, detection of average vehicle speed and so on. The real time traffic scene understanding has many usages; however, human operators would not be able to get information from it quickly and truly. For instance, if a driver knows the traffic level of a highway, be aware of an accident accrued in a road, or knows the average speed of vehicles in different street and roads, he can easily choose the best route and reach to his destination in minimum time or in light traffic routes. Furthermore, traffic scene understanding could be helpful in developing the smart maps. These maps are able to detect the best route with different criteria such as fastest route or nearest route. So far, many studies have been conducted for using surveillance cameras in traffic scene…show more content…
In general, sensors are divided into two groups; fixed sensors like radars and inductive loops or mobile sensors like GPS, WiFi and cellular phones as probes. The installation and maintaining fixed sensors are costly [3]. Authors of [1-6] used mobile sensors to estimate some parameters from a traffic scene such as travel time, average speed, and traffic density. But using mobile sensors is not accurate and practical enough. GPS or WiFi is not always available in all of the places. Moreover, some phones don’t have WiFi, cellular radios or GPS

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