کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
410551 679149 2009 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Scene segmentation based on IPCA for visual surveillance
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Scene segmentation based on IPCA for visual surveillance
چکیده انگلیسی

This paper proposes a simple scene segmentation method based on incremental principal component analysis (IPCA). Instead of segmenting moving objects in a conventional frame by frame manner, the newly proposed method segments a scene into unchanged background zone (UBZ) and moving object zone (MOZ). As a result, moving objects normally appear in MOZs rather than UBZs, and therefore, detection and behaviours analysis can be performed in MOZs. In visual communication, UBZs do not need to be encoded and transmitted. Moreover, if an object is in UBZs, it can be linked to abnormal events. Experimental results demonstrate the contribution of the proposed method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 10–12, June 2009, Pages 2450–2454
نویسندگان
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