智能工厂下的AGV多目标跟踪

doi:10.16180/j.cnki.issn1007-7820.2019.11.005

Abstract

Abstract:

Aiming at identifying, occluding and losing similar objects in AGV tracking under logistics warehouse, the study proposed a multi-target tracking method which combined background modeling with Kalman filter. Because logistics AGV has the same color, the proposed method tracked a specific logistics car with the help of Camshift's color tracking feature. At the same time, Kalman filter was used to add motion information and make use of dynamic information of target. To solve the problems of AGV recognition, occlusion and loss under the same color, the influence of noise was removed. Experiment showed that this algorithm could distinguish similar AGV cars and track them in real time.

Key words: AGV, background modeling, object detection, target tracking, Camshift algorithm, Kalman filtering

CLC Number:

TP751

YANG Biao,LIU Xiang,TANG Xian,CHEN Junting. AGV Multi-target Tracking Under Smart Factory[J].Electronic Science and Technology, 2019, 32(11): 23-27.

Figures/Tables 6

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AGV Multi-target Tracking Under Smart Factory

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