Application of foreground object patterns analysis for event detection in an innovative video surveillance system
作者： Dariusz Frejlichowski , Katarzyna Gościewska , Paweł Forczmański , Radosław Hofman
DOI: 10.1007/S10044-014-0405-7
关键词: Video content analysis 、 Object (computer science) 、 Mixture model 、 Pattern recognition (psychology) 、 Event (computing) 、 Computer vision 、 Focus (optics) 、 Computer science 、 Event recognition 、 Artificial intelligence 、 Modular design
摘要: SmartMonitor is an innovative surveillance system based on video content analysis. It a modular solution that can work in several predefined scenarios mainly concerned with home/surrounding protection against unauthorized intrusion, supervision over ill person and crime detection. Each scenario associated actions conditions, which imply the utilization of algorithms various input parameters. In this paper, focus put analysis foreground object patterns for purposes event recognition, as well experimental investigation selected methods were developed employed prototype. The prototype performs three main tasks: detection localization regions using adaptive background modelling Gaussian Mixture Models, candidate objects extraction classification Haar HOG descriptors, tracking Mean-Shift algorithm. goal described here to match parameters each provide highest effectiveness decrease number false alarms.
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