1. A face recognition method, comprising: dividing an input video into different sets of frames; detecting faces of each frame in the input video; generating face tracks for the input video; applying a robust collaborative representation-based classifier to recover a clean image from complex occlusions and corruptions for a face test sample from one of the face tracks and performing classification; and outputting recognized face identity of the face test sample based on results from the classification; wherein applying a robust collaborative representation-based classifier to recover a clean image from complex occlusions and corruptions for a face test sample and performing classification further includes: estimating the clean image through an inductive robust principal component analysis (IRPCA) algorithm to initialize a low-rank representation with an l 1 half quadratic (LRR-HQ-L1) algorithm; estimating a weight matrix through the LRR-HQ-L1 algorithm; performing classification through a robust collaborative representation (RCR) algorithm; and giving a final decision of a class identity of the face test sample based on classification results from the RCR algorithm.