Pedestrian detection and tracking based on SACON background model
基于SACON背景模型的人体检测与跟踪

A new background modeling method based on Sample Consensus (SACON) was proposed for detecting foreground objects. The method, which has higher accuracy than other five popular methods in the experiment when seven typical video sequences were adopted, is suit for detecting and tracking the moving target under complex circumstances. On pedestrian detection and tracking, considering the target to be non-rigid, a new target appearance model containing spatial domain and color information was built based on SACON. The experimental results show that the method can describe pedestrian feature exactly and can detect or track targets with barriers and similar color and small targets with high accuracy.