Target tracking method using multi-tracking scheme based on markov chain, and target tracking apparatus using the same

The present invention relates to a target tracking method for tracking a target and a target tracking device using the same. The target tracking method includes: a step of predicting the location of a target; a step of tracking the target by connecting each target signal, which is inputted every hour from a sensor unit which senses the target, to a component using the predicted location of the target; a step of, while the target is being tracked, calculating a track score to evaluate the tracking performance of a track as a probability index to measure the reliability of an ongoing track based on a Markov chain model in which a hypothesis about the existence of a target signal and a hypothesis about a blind situation are applied and updating data about the target to target the target using the Markov chain model; a step of merging or removing a component of the track using the Markov chain model; and a step of removing the track if the calculated track score is smaller than a predefined threshold value or confirming and maintaining the track if the score is equal to or greater than the predefined threshold value. By doing so, the present invention is able to track a target even after the target gets out of a blind environment, thereby improving solidity in tracking a target. [Reference numerals] (AA) Remove a track; (S110) Prediction step; (S120) Step of connecting components among signals; (S130) Update step; (S140) Component management step; (S150) Track management step; (S160) Track score > Th