Abstract
Multiple targets tracking technology in infrared image is the core of multi-sensors information fusion. As to the features of infrared imaging and the difficulties in multi-target tracking, a kind of multi-target tracking in infrared image based on joint probabilistic data association (JPDA) algorithm is proposed in this paper. Detection algorithm is applied in infrared images to gain the initial information and observation information of targets. Designed tracking thresholds and set up the tracking beginning. Calculate the probabilities of measurements in track gate associated with target tracks, the probability is used to produce a weight innovation of measurements which is used to a target state estimating filter, complete the target track predict and filter update. Theoretical analyses and experimental results prove that the algorithm in the paper can be used to solve the distribution problem of multi-observation and multi-target tracks. Even two targets with cross bonding or overlapping can be stably and effectively tracked and remove the clutter from detection.
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