کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10358788 868639 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Crowd behaviors analysis and abnormal detection based on surveillance data
ترجمه فارسی عنوان
تجزیه و تحلیل رفتار جمعیت و شناسایی غیر طبیعی بر اساس اطلاعات نظارت
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Crowd analysis and abnormal trajectories detection are hot topics in computer vision and pattern recognition. As more and more video monitoring equipments are installed in public places for public security and management, researches become urgent to learn the crowd behavior patterns through the trajectories obtained by the intelligent video surveillance technology. In this paper, the FCM (Fuzzy c-means) algorithm is adopted to cluster the source points and sink points of trajectories that are deemed as critical points into several groups, and then the trajectory clusters can be acquired. The feature information statistical histogram for each trajectory cluster which contains the motion information will be built after refining them with Hausdorff distances. Eventually, the local motion coherence between test trajectories and refined trajectory clusters will be used to judge whether they are abnormal.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Languages & Computing - Volume 25, Issue 6, December 2014, Pages 628-636
نویسندگان
, , ,