STREET REGION DETECTION FROM NORMALIZED DIGITAL SURFACE MODEL AND LASER DATA INTENSITY IMAGE

Street-Parking Vehicle Detection from Panoramic Laser Range-Image

It is important to assess street-parking vehicles causing traffic problems in urban areas, however, it is performed manually and at high cost. It is a top priority for reducing cost, to develop a detection system of those vehicles. We propose a detection method using a laser-range finder and a line-scan camera. In the detection method, two kinds of cluster analysis are applied to range points: ...

Persian sign language detection based on normalized depth image information

There are many reports of using the Kinect to detect hand and finger gestures after release of device by Microsoft. The depth information is mostly used to separate the hand image in the two-dimension of RGB domain. This paper proposes a method in which the depth information plays a more dominant role. Using a threshold in depth space first the hand template is extracted. Then in 3D domain the ...

Detection of Street-Parking Vehicles on Panoramic Laser-Range Image

都市交通における問題の原因となる路上駐車車両の実態を把握することは重要である.現 在,路上駐車車両の実態把握は,調査員の手によって行われている.手動計測では,人件費 によるコストが高く,数え間違えを十分には防止できない.コスト削減と正確な車両台数の 計数のために,路上駐車車両の自動検出システムの構築は必須である.時空間ボリュームデ ータと2種類の断面から,2つのタイプの沿道パノラマ画像を導入する.ライン走査カメラを 用いた,路上駐車車両検出法はすでに提案してきた.この検出法は,ライン走査画像のEPI解 析に基づいている.検証実験の結果,検出率は76.9%であった.本論文では,レーザレンジフ ァインダを用いた,路上駐車車両の検出法を新たに提案する.提案手法では,計測されたレ ーザレンジ点に対して2種類のクラスタ解析を適用する.一つは,スキャン毎のクラスタリン グであり,もう一つは,連続...

Automatic Detection and Localization of Surface Cracks in Continuously Cast Hot Steel Slabs Using Digital Image Analysis Techniques

Quality inspection is an indispensable part of modern industrial manufacturing. Steel as a major industry requires constant surveillance and supervision through its various stages of production. Continuous casting is a critical step in the steel manufacturing process in which molten steel is solidified into a semi-finished product called slab. Once the slab is released from the casting unit, th...

Image Reconstruction from Incomplete Data