Surveillance　video　system　as　an　effective　means　of　public　safety　widely　appeared　in　people＇s　life　in　recent　years.　Traditional　video　coding　technology,　the　encoding　process　is　complex,　computation,　and　conflicts　with　hardware　limitations　of　the　monitoring　system.　This　paper　presents　a　kind　method　used　to　design　and　train　redundant　dictionary　based　on　image　region.　Each　frame　is　divided　into　same-sized　area　with　equal　blocks,　then　the　image　areas　of　the　same　position　are　put　together　as　the　training　sample　library　of　regional　redundant　dictionary.　In　this　way,　redundant　dictionary　compression　results　in　the　occupied　volume　can　be　reduce.　On　top　of　this　dictionary,　surveillance　video　compression　coding　algorithm　based　on　the　regional　dictionary　is　designed　and　implemented.　Experimental　results　show　that　the　proposed　algorithm　can　effectively　improve　the　compression　ratio　of　the　algorithm.