Affiliations 

  • 1 Universiti Teknologi PETRONAS
  • 2 Universiti Tunku Abdul Rahman
  • 3 Middlesex University
MyJurnal

Abstract

This paper presents a tracking method based on parameters between colour blobs. The colour blobs
are obtained from segmenting the overall target into multiple colour regions. The colour regions are
segmented using EM method that determines the normal colour distributions from the overall colour
pixel distribution. After segmenting into different regions on the different colour layers, parameters
can be generated between colour regions of interest. In this instance, the colour regions of interest are
the top and bottom colour regions. The parameters that are generated from these colour regions are
the vector magnitude, vector angle and the value difference between colour regions. These parameters
are used as a means for tracking targets of interest. These parameters are used for tracking the target
of interest across an array of cameras which in this instance are three cameras. Three cameras have
been set up with different background and foreground conditions. The summarised results of tracking
targets across three cameras have shown that the consistency of colour regions across different cameras
and different background settings provided sufficient parameters for targets to be tracked consistently.
Example of tracking performance across three cameras were 0.88, 0.67 and 0.55. The remaining tracking
performances across three cameras are shown in Table 2. The tracking performance indicate that the
parameters between colour regions were able to be used for tracking a target across different cameras
with different background scenarios. Based on results obtained, parameters between segmented colour
regions have indicated robustness in tracking target of interest across three cameras.