Object Tracking Algorithm Based on CMT Framework
YUAN Jun
XU Fenglei
REN Mingwu
Abstract：In this paper,an algorithm of object tracking based on CMT(Consensus-based Tracking and Matching of Keypoints for Object Tracking)is proposed. The original CMT algorithm only has a fixed object model. To solve this problem,an improved CMT algorithm which consist of tracker,detector and fusion is proposed. And spatio-temporal context(STC)tracking algorithm is introduced as a tracker. Kalman filtering predicts object position for reducing the range of detection of feature points. The feature points matching algorithm of CMT is used as detector. Fusion analyses and evaluates the results of tracker and detector,and gives the final result. At the same time,fusion runs an effective strategy of model update.
Keywords：object trackingCMT tracking algorithmSTC tracking algorithmcascade detectormodel update
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2143-2147,2168 )