Particle　filter　(PF)　has　proven　successfully　for　nonlinear　and　non-Gaussian　estimate　problems,　but　its　degeneracy　will　influence　the　results　of　tracking.　Therefore　in　the　paper,　the　optical　flow　algorithm　is　utilized　to　generate　the　proposal　distribution　of　particle　filter.　With　the　velocity　message　which　is　estimated　by　optical　flow　algorithm,　the　particles　could　be　generated　in　a　right　direction.　So　that,　more　particles　are　given　a　relatively　greater　weight,　which　improves　the　particle　degradation.　This　article　proposes　the　integration　of　color　histogram　and　wavelet　moment　into　tracking　algorithm　for　improving　the　veracity　of　object　tracking.　An　improved　particle　filter　tracking　algorithm　based　on　optical　flow,　color　histogram　and　wavelet　moment　is　proposed　in　this　paper.　©　2013　IEEE.