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Tracking Human Object with Motion,Temperature and Heart Beat

Author(s):

Akila K , RMK COLLEGE OF ENGINEERING AND TECHNOLOGY; Dr.S.Chitrakala, Anna University Chennai; Mr.N.Nandhakumar, Infosys

Keywords:

Gaussian Mixture Model (GMM), Expectation-Maximization (EM), Interacting Multiple Model Estimator (IMME), Multichannel- IMME (MC-IMME)

Abstract

Human Motion can be detected by measuring change in speed or vector of it in the field of view. Also the temperature and heartbeat of the human (target object) promotes more applications. The tracking architecture and dataset processing cannot perform the expected outcomes due to the limitations of data association (temperature and heart beat).A collaborative grouping of datasets is done using Gaussian Mixture Model (GMM). Hereby, the proposal discloses the motion tracking relationship among the different datasets using MC-IMME algorithm which is an improvement over the existing IMME algorithm. The efficient target estimation to employ a tracking relationship within a cluster is achieved using GMM and expectation-maximization algorithm.

Other Details

Paper ID: IJSRDV3I2762
Published in: Volume : 3, Issue : 2
Publication Date: 01/05/2015
Page(s): 1047-1050

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