自动化学报2016，Vol.42Issue(9)：1356-1366,11.DOI:10.16383/j.aas.2016.c150857
基于误差补偿的复杂场景下背景建模方法
An Error Compensation Based Background Modeling Method for Complex Scenarios
摘要
Abstract
Compensating foreground error with background information usually helps to build an accurate background model for the subspace learning based background modeling method. However, dynamic background (swaying tree or waving water surface) and complex foreground signal may have bad influences on the compensation process. To solve the problem, we propose an error compensation based incremental subspace method for background modeling, which aims to build an accurate background model in complex scenarios. First, we bring a spatial continuity constraint to the foreground error estimation process, which helps to preserve more dynamic background information and increase the accuracy of the background model. Second, we formulate the foreground estimation task into a convex optimization problem, and design an accurate optimization algorithm and a fast optimization algorithm, respectively for different applications. Third, an alpha-mating based error compensation strategy is designed, which increases the anti-interference performance of our algorithm. At last, a median background template which does not rely on background model is constructed, which increases the robustness of our algorithm. Multiple experiments show that the proposed method is able to model background accurately even in complex scenarios, demonstrating the anti-interference performance and the robustness of our method.关键词
背景建模/抗干扰的误差补偿/空间连续性/Alpha通道/中值模板Key words
Background modeling/anti-interference error compensation/spatial continuity/alpha-mating/median tem-plate引用本文复制引用
秦明,陆耀,邸慧军,吕峰..基于误差补偿的复杂场景下背景建模方法[J].自动化学报,2016,42(9):1356-1366,11.基金项目
国家自然科学基金(61273273,61175096,61271374),高等学校博士学科点专项科研基金(2012110110034),北京市教委共建项目资助Supported by National Natural Science Foundation of China (61273273,61175096,61271374), Research Fund for the Doctoral Program of Higher Education of China (2012110110034), and Specialized Fund for Joint Building Project of Beijing Municipal Education Commission （61273273,61175096,61271374）
