Abstract:

As the speed of moving objects, and shape are easy to change, leading to the failure of target tracking problems，the paper proposes a model based on the Kalman filter, taking into account the state of the Markov track design from the new tracking algorithm. The algorithm first creates a matrix model of the target states and observation changes in transfer, then simplifies the model of the traditional Kalman filter algorithm based on the Markov chain, and predetermines the target position and speed. On this basis, the paper combines with the traditional template matching and updating mechanisms, within the search target in the forecast, and updates based on the objective factors such as changes in the choice of templates, thus ensuring quick search target, while in the dynamic adjustment of the templates, we make sure to track the target in the event of deformation or acceleration which can be achieved under steady state tracking. The experimental results demonstrate the effectiveness and practicality of the algorithm.

Key words: object tracking;video;kalman filter