کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
528001 869455 2007 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Background-subtraction using contour-based fusion of thermal and visible imagery
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Background-subtraction using contour-based fusion of thermal and visible imagery
چکیده انگلیسی

We present a new background-subtraction technique fusing contours from thermal and visible imagery for persistent object detection in urban settings. Statistical background-subtraction in the thermal domain is used to identify the initial regions-of-interest. Color and intensity information are used within these areas to obtain the corresponding regions-of-interest in the visible domain. Within each region, input and background gradient information are combined to form a Contour Saliency Map. The binary contour fragments, obtained from corresponding Contour Saliency Maps, are then fused into a single image. An A∗ path-constrained search along watershed boundaries of the regions-of-interest is used to complete and close any broken segments in the fused contour image. Lastly, the contour image is flood-filled to produce silhouettes. Results of our approach are evaluated quantitatively and compared with other low- and high-level fusion techniques using manually segmented data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Vision and Image Understanding - Volume 106, Issues 2–3, May–June 2007, Pages 162–182
نویسندگان
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