In　this　paper,　we　present　a　monocular　vision　tracking　approach　based　on　Hu　moment　recognition　in　Particle　Filter　framework.　Our　motivation　stems　from　the　fact　that　when　the　target　rotates,　translates　and　scales,　target　losing　or　mistracking　always　happens　in　image.　To　solve　this　problem,　we　propose　an　object　tracking　technique　based　on　Particle　Filter　and　Hu　moment　by　using　monocular　vision　method.　Because　of　its　inherent　invariance　property　to　the　regional　scaling,　translation　and　rotation,　Hu　moment　is　used　as　identification　features.　In　addition,　PF　is　adopted　to　correct　and　predict　the　location　of　the　tracking　object.　This　paper　details　the　architecture　of　the　proposed　method　and　gives　some　experimental　results　to　verify　the　effectiveness　of　the　proposed　method.　©　2012　IEEE.