Abstract
In order to improve the joint detecting and tracking ability for small targets under complex environments,the authors presented a new Track-Before-Detect (TBD) algorithm based on particle filter. Unscented Particle Filter (UPF) method was adopted and the motion status and appearance status were jointly scanned in the particle filter. The new algorithm essentially introduces tracking idea into target detecting. It has the merits of high-sensitivity,high acquisition probability,good tracking performance and low requirement on sample particle number. The algorithm can effectively enhance the tracking-while-detecting ability of infrared searching and tracking system.
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