To　detect　the　static　object　which　is　relatively　static　in　most　time,　a　method　for　static　object　detection　was　proposed　by　combining　motion　and　statistical　features.　The　image　of　inter-frame　difference,　which　was　formed　by　one　image　subtracted　from　the　image　with　a　pixel　offset　in　row　and　column,　was　used　to　obtain　the　motion　feature.　The　statistic　feature　of　the　target　region　and　candidate　region　was　used　to　detect　the　target.　The　template　of　the　target　was　updated　according　to　the　motion　feature　and　similarity　between　the　target　and　candidate　region.　By　optimizing　extraction　of　the　statistic　feature　with　the　integral　image　and　elimination　disturbance　of　strong　light,　the　performance　of　real-time　and　robust　was　improved.