Real-time change detection methods for video-surveillance systems with mobile camera
作者： Carlo S. Regazzoni , Franco Oberti , Lucio Marcenaro
DOI:
关键词: Computer vision 、 Object (computer science) 、 Computer science 、 Change detection 、 Camera resectioning 、 Artificial intelligence 、 Mobile camera 、 Smart camera 、 Video tracking 、 Three-CCD camera 、 Camera auto-calibration
摘要: In this paper, a video-surveillance system based on mobile-camera is presented. The proposed real-time method able to detect an object in video sequence from non-static camera. particular during off-line phase the creates panoramic multi-layer background image. on-line compares acquired images with portion of background. Different change detection methods are analyzed. Experimental results presented order validate methods. could be used for extending efficient algorithms scene understanding already developed and tested fixed cameras mobile camera environment.
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