A　new　method　of　moving　object　detection　in　indoor　environment　was　proposed　in　this　paper.　This　method　can　effectively　overcome　strong　light　changing　and　can　accurately　detect　and　extract　moving　indoor　objects.　First,　images　in　the　form　of　RGB　(red-green-blue)　are　transformed　into　the　form　of　HSI　(hue-saturation-intensity)　for　better　image　processing;　then,　strong　light　changing　in　indoor　environment　is　overcome　based　on　background　difference　and　frame　difference;　finally,　moving　objects　in　indoor　environment　are　accurately　extracted　with　reasonable　using　of　background　difference　and　frame　difference.　The　core　of　the　method　is　that　the　accuracy　of　moving　object　detection　in　indoor　environment　is　greatly　improved　through　effective　using　of　background　difference　and　frame　difference　in　HSI　model.　With　experiments,　it　is　proved　that　the　method　proposed　in　this　paper　is　effective　and　reliable.