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Realtime Visual Vehicle Categorizing Systems(实时的车辆视觉分类系统)

This software provides the ability to category Cars, Vans and SUVs in realtime from a camera video stream. Although the demo only
show the ability to category cars, vans and SUVs, our method can also be used to classify any kinds of vehicles. The backbone behind our algorithm is the Physical Linguistic Vision Technologies for dynamic scene understanding. (September 03, 2005, Tucson, Arizona). 这套软件具有从摄像流中对小汽车、箱式货车、面包车和SUVs进行实时分类的能力。虽然这套演示版显示的能力只能进行小汽车、箱式货车、面包车和SUVs的实时分类,但是我们的方法也可以用来对其他任何车辆的分类。我们算法所使用的技术是对动态场景进行理解的物理语义视觉技术。

Now a part of Now a part of TrafGo Intelligent Transportation Systems Developer’s C\C++ kit.

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The zipped file of the video shows how the software works. [download video file(zipped .avi format) 128MB ] Please note that in this video, the letters "wcar" and "bcar" in Green show the detected cars in bright and dark colors, respectively. The red letters "van" indicate a detected van while the blue letters "SUV" denote a detected SUV. 这个压缩的录像文件显示了这套软件是如何工作的。[下载video file(zipped .avi format) 128MB ]。请注意,在这段录像中,用绿色显示的字母“wcar”和“bcar”分别代表已经检测到的浅亮颜色的小汽车和黑色的小汽车。红色字体显示的“van”表示已经检测到一辆厢式货车,蓝色字体显示的“SUV”表示已经检测到一辆SUV.
We show two stages of our algorithms in this video. At the first stage, our algorithm learns from the scenes the adaptive adjustable parameters such as shadow, lightening condition, and etc. After that, at the second stage, our algorithm categorizes dark cars, light cars, vans and SUVs. Observe that the classification is fast and with a high hit rate. 在这段录像中显示我们算法的两个阶段。第一阶段,该算法从场景中学习适用的可调整的参数,比如:影子、照明条件,等等。然后在第二阶段,该算法对黑色小汽车、浅色小汽车、厢式货车和SUV进行分类。可以看到,整个分类过程非常快而且正确率很高。

For more information on this technology, please send your request to 关于这个技术的更多信息,请发email至查询。

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