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摘要
Background Subtraction (BS) plays an important role in video surveillance system because it provides a focus of attention for moving object detection. But there are still challenging scenarios such as dynamic backgrounds and illumination variation. To achieve greater foreground detection quality under these circumstances, a novel approach called "Rotational Symmetry Dynamic Texture" for Background Subtraction is proposed. The concept of key frame is used to avoid processing overhead. A spatio temporal patch is used to describe motion and appearance of a video sequence. From that patch the proposed Rotational Symmetry Dynamic Texture (RSDT) method will encode the relationship between the referenced pixel and its neighbours, based on the directions that are calculated using the concept of rotational symmetry and line symmetry. A novel "SCD (Similar-Congruent-Dissimilar) based scoring" model is used to estimate appearance consistency and temporal coherence of the video. The two layer approach is used to solve sudden illumination changes and to improve processing speed by adopting mean values of blocks. It is suitable for both indoor and outdoor environments because the subspace construction is purely based on directional codes with rotational symmetry and line symmetry. Metric F-Score is used to measure the performance of the proposed method. Finally this paper provides an effective and robust background subtraction scheme. From performance evaluation, it is observed that Rotational Symmetry Dynamic Texture with SCD based scoring model guarantees accurate background subtraction than the existing literature.
- 出版日期2016-12
