Abstract: The closed-circuit television (CCTV) surveillance system is developing rapidly in recent years.But the intelligence level is relatively low.In this paper,a robust multiple ship tracking algorithm was proposed based on the defor-mable part model.The proposed algorithm treats every ship as a part.By incorporating the spatial constraints,the interrelations model between ships with the minimum spanning tree model can be effectively built.Then the robust multiple ship tracking is accomplished based on the deformable part model.Moreover,aiming at obtaining an accurate paramete-rized appearance model of ships,the HOG features combined with the fuzzy SVM is adopted to train those object regions.Especially,because of the ambiguity in the fuzzy SVM,every training samples are given different importance so as to obtain a more accurate appearance model.At the same time,structured learning can guarantee to update the interrelation parameters on time when ships move.Experimental results demonstrate that our proposed algorithm is suitable for inland waterway and can accomplish robust and effective multiple ship tracking.

Key words: Inland waterway,Closed-circuit television system (CCTV),Multiple ship tracking,Fuzzy SVM,Deformable part model