In order to reduce energy consumption of nodes by reducing amount of data for communication of wireless video sensor networks（ WVSNs） in recent years

high efficient distributed target tracking methods are proposed.However

distributed consensus tracking method is commonly used

which uses information matrix for data fusion to improve tracking precision

although communication amount is lower than transmitting image

it is still energy consuming.Aiming at this situation

present a Kalman consensus filtering（ KCF） tracking method based on residual coding（ RC）

sign coding strategy is used to information matrix which can dramatically reduce datas transmission amount between video nodes

experiments show that the method can effectively reduce energy consumption about 70 % and assure tracking effect at the same time.