Object Detection and Measurement Using Stereo Images

作者: Christian Kollmitzer

DOI: 10.1007/978-3-642-30721-8_16

关键词: Computer scienceSubtractionComputer visionObject detectionBackground subtractionComputer stereo visionStereo camerasArtificial intelligenceStereo cameraStereopsisObject-class detection

摘要: This paper presents an improved method for detecting objects in stereo images and of calculating the distance, size speed these real time. can be achieved by applying a standard background subtraction on left right image, subsequently known as calculates disparity detected objects. calculation is supported several additional parameters like center object, color distribution object size. The used to verify plausibility calculate distance position this object. Out extracted, additionally calculated when tracked over frames. A dense map produced during learning phase serves possibility improve detection accuracy reliability.

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