In this paper, camera motion detection methods using a background image generated by video mosaicing based on the correlation between feature points on a frame pair are described. In this method, a telop (video caption) removal method, iterative foreground and background image separation method and appropriate frame pair selection from consecutive frames are introduced to generate background images accurately. Parameters indicating the location of each frame on the background image are retrieved and used to detect the camera motion. Except for the simple threshold-based method, a method using Hidden Markov models (HMMs) is introduced to detect variable length camera motion based on the maximum likelihood criterion. The effectiveness of the proposed method is evaluated by using a TRECVID 2005 low-level feature extraction task [1].