电子学报Issue(2)：306-311,6.DOI:10.3969/j.issn.0372-2112.2014.02.015
多摄像机视域内的目标活动分析
Activity Analysi s Cross Muti-Camera
摘要
Abstract
This paper proposes an approach to analyze the temporal and spatial correlations between objective activities from multiple non-overlapping camera network .Based on the similarity of moving models and the relationship of moving space ,each vi-sion field of camera network is segmented into semantic active regions automatically .Then a Cross Kernel Canonical Correlation Analysis is implemented to explore the correlations between these active regions and the topology of the camera network .This topol-ogy can reflect the temporal and spatial information of objectives cross multi-cameras and improve the accuracy of objects re-identi-fication by removing false objects .Compared with existing methods ,our approach does not depend on the individual tracking and is efficient in complex and crowed scene .The experiment results show that our approach performs effectively and efficiently in multi camera surveillance network .关键词
语意区域划分/核典型相关性分析/多摄像机视域内容理解Key words
camera view decomposition/KCCA/multiple camera content understanding分类
信息技术与安全科学引用本文复制引用
蒋建国,顾占冰,胡珍珍,齐美彬..多摄像机视域内的目标活动分析[J].电子学报,2014,(2):306-311,6.基金项目
科技部中小企业创新基金 （）
