Abstract: As severe motion blur will lead to the failure of target tracking， an ESMbased template matching target tracking algorithm was proposed. First， an image structure model of motionblurred template matching was presented. Then， the ESM algorithm was introduced and motion template was tracked based on ESMMB. Subsequently， camera shutter estimated time was introduced as a parameter and selfadaptive ESMMBST tracking algorithm of motion blur caused by different shutter speed was proposed. Finally， the real video sequence tracking experiments indicated that the proposed ESMMB algorithm and the ESMMBST algorithm had a better robustness and realtime ability.

Key words: efficient secondorder minimization, motion blur, image formation model, shutter time, template matching