The Statistics of Traffic Flows Based Video at Night
Yimin Li · Microprocessors · 2012
An efficient algorithm was presented for the statistics of traffic flows including that illumination was not sufficient at night.Firstly,In order to separate the foreground from background,the original video sequences had been thresholded,and by using morphological erosion to eliminate some isolated noises and smaller regions,these regions whose ranges are smaller than the one enacted were discarded by looking for connective regions,and the beams which were projected by headlamps and detached,were connected by the morphological expansion.Secondly,calculating and judging the areas and ranges of connective regions to extract accurately the headlights.Finally,comparing the headlights' areas and position of two adjacent frames to match and track,then calculate traffic flows.Experiment results indicate that this algorithm is low about computation,and its detection ratio reaches above 97% in fine condition.