Vehicle Class Recognition of Street-parking Vehicles from Side-view Range Images

نویسندگان

  • Ryo Ohta
  • Shirmila Mohottala
  • Shintaro Ono
  • Masataka Kagesawa
  • Katsushi Ikeuchi
چکیده

This paper describes a novel method for recognizing the classes of street-parking vehicles. We have already developed the following two systems: one is vehicle recognition system based on local-feature configuration, and the other is detecting street-paring vehicles from side-view range images. In this paper, we combine these two systems to develop a new system with which we can not only count the number of street-parking vehicles but also recognize their class of vehicle type such as sedan, wagon, mini-van or so. We have confirmed that our classification algorithm is still robust on range images, performing outdoor experiments. Our system can recognize four vehicle classes of sedan, wagon, mini-van and hatchback from outdoor range images with accuracy of about 80%.

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تاریخ انتشار 2005