Computer and Modernization

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Multiobject Video Tracking in Logistics Warehouse

  

  1. College of Computer and Information, Hohai University, Nanjing 210098, China
  • Received:2014-06-06 Online:2014-10-10 Published:2014-11-04

Abstract:

 A Camshift algorithm, which is combined with the background modeling and the movement information, is presented in this article in order to resolve the multiobject
tracking problem in the complex environment of industrial field. Firstly, the matrix of probability density is calculated based on histogram of color of each object. Secondly,
these matrixes of probability density would be filter processed according to background image which is obtained from the background modeling. Thirdly, the movement information
is added to its iterative process, and the best position should be calculated with the weighting fusion. In the last, the Camshift removes the goals which have been tracked
successfully in the previous frame from those matrixes of probability density, in order to avoid a disturbance to other goals in the multiobject tracking. The experiment
indicates that this algorithm has a very good capacity of reducing background disturbance and similar goals disturbance.

Key words: logistics video, multiobject tracking, Camshift, weighting fusion

CLC Number: