关键词: 飞行小目标, 融合算法, 序贯相似性检测算法（SSDA）, Camshift, Particle Filter

Abstract: Particle Filter algorithm has played good performance in tracking robustness，but is poor in real-time；Camshift algorithm has the fast speed of calculation，but it is semi-automatic，so they are both unable to avoid the disturbance effectively in complex background.In order to solve above problem，an integrated algorithm is proposed based on Camshift and Particle Filter.This algorithm uses Particle Filter to search the initial position of the Weak Aerial Target（WAT），then uses Camshift to track WAT and switches Camshift and Particle Filter to track the missing WAT by measurement parameter adaptively.Contrast experiment is conducted in the SSDA，Camshift and Particle Filter by the image sequence of WAT which is under the complex background.The result of experiment indicates that this algorithm can not only realize the wholly automatic tracking，but also decrease the influence of deformation and partial occlusion in WAT.This algorithm has the strong robustness and real-time property.

Key words: Weak Aerial Target（WAT）, integrated algorithm, Sequence Similar Detection Arithmetic（SSDA）, Camshift, Particle Filter