9. The face recognition method according to claim 1 including: calculating a rejection probability P rej t for each said video frame; and summing up said similarity probability P i t along with said rejection probability {circumflex over (P)} rej t up to time t for normalization and obtaining a posterior probability {circumflex over (P)} i t of said video frames up to time t belonging to class c.
11. The face recognition method according to claim 9 , wherein the step for summing up said similarity probability along with said rejection probability up to time t for normalization can be expressed as: P ^ i t = β t × ( ω × P i t - 1 + ( 1 - ω ) × P i t , SVC ) ( ω × P ^ rej t - 1 + ( 1 - ω ) × P rej t ) + β t × ∑ i ⁢ ( ω × P i t - 1 + ( 1 - ω ) × P i t , SVC ) , wherein i=1, 2, . . . , n, β t =1−{circumflex over (P)} rej t is the acceptance rate at time t, and {circumflex over (P)} t =[{circumflex over (P)} 1 t , {circumflex over (P)} 2 t , . . . , {circumflex over (P)} rej t ] T is the posterior probability distribution.