Target Tracking Algorithm on Multi-feature Adaptive Fusion
Abstract：Traditional tracking methods based on a single characteristic in complex scenes and in the case of the illumination change easily lead to tracking failed. Therefore this paper presented a target tracking algorithm on multi-feature adaptive fu- sion. Firstly this paper constructed target multi-feature model by using complementary color and texture characteristics of the tar- get; Secondly according to the separability of target and background of feature submodel, adjusted adaptively weight of target fea- ture submedel; Finally, using both color and texture features verified the algorithm proposed in this paper. The tests indicate that, target tracking algorithm on multi-feature adaptive fusion is more robustness.
Keywords：multi-featurecolortexture featuresweight
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 23-27 )