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In com bination o f the image tex tu re feature extrac tion m ethod, w h ich is based on H aar local b ina ry pattern (H L B P ), a new ta rge t track ing a lg o rith m was proposed, and applied to M eansh ift track ing fram ew ork. V isua l Studio 2010 and the opencv2. 4. 9 were the experim ental p la tfo rm s. W e compared the resu lts o f the new a lgo rith m w ith the re­ su lts o f other tw o kinds o f a lg o rith m s, w h ich are trad itio n a l M eansh ift ta rge t track ing a lgo rith m and the ta rge t track ing a lg o rith m based on local b ina ry pa tte rn tex tu re feature (L B P). E xperim enta l resu lts show th a t , in the case o f sim ple or complicated background, the proposed track ing approach always shows steady and accurate track ing fea tures, and in the event o f pa rtia l occlusions ? i t can co rrectly track the ta rge t.

自适应HLBP纹理特征的Meanshift目标跟踪算法 (Meanshift Target Tracking Algorithm of Adaptive HLBP Texture Feature).