1. A computerized object matching and detection refinement method for moving cell detection from temporal image sequence comprising the steps of: a) Inputting an initial object segmentation from a temporal image sequence containing moving cells wherein objects are cells and the object segmentation is created by dynamic spatial-temporal reference method wherein the dynamic spatial-temporal reference generation method comprising the steps of: (i) Inputting running interval image sequence; (ii) Performing pixel statistics creation using the running interval image sequence to generate pixel statistics output; (iii) Performing background time points detection using the running interval image sequence and the pixel statistics to generate background set output; (iv) Performing reference image generation using the current image and the background set to generate reference intensity image output, b) Inputting previous frame results; c) Performing matching and shift estimation using the initial object segmentation and the previous frame results to generate either estimated shift and updated tracks or new cell detection output wherein the initial object segmentation is used to match the previous frame results using at least one of features such as location, static object morphology, intensity as well as object kinetic measurements such as velocity or acceleration; d) Performing aligned combination using the previous frame results and either the estimated shift or zero shift for new cell to generate combined previous results output wherein the previous frame results corresponding to best match are aligned with current frame after shifting.