In order to improve the tracking precision of the fDSST algorithm when the target is moving fast,deforms or even disappears,a long-term tracking algorithm based on TLD and fDSST is proposed.Based on the fDSST algorithm,a detector and an online learner are used to modify and learn from the tracking results.To solve the problem of learning wrong parameters when the fDSST algorithm fails,the positive and negative samples of the detector and the learner are used to evaluate the tracking results.The experiment results indicate that the long-term tracking algorithm based on TLD and fDSST solves the problem that the fDSST algorithm fails to track the target for a long time when the target is in fast moving,deforms or even disappears.This approach could also improve the tracking precision of the TLD algorithm.