Authors: Debi Prosad Dogra Vishal Badri Arun Kumar Majumdar Shamik Sural Jayanta Mukherjee Suchandra Mukherjee Arun Singh
Publish Date: 2014/08/06
Volume: 52, Issue: 9, Pages: 759-772
Abstract
Video object tracking plays an important role in many computer visionaided applications This paper presents a novel multipath analysisbased video object tracking algorithm Trajectory of the moving object is refined using a Kalman filterbased prediction method The proposed algorithm has been used successfully to analyze one of the complex infant neurological examinations often referred to as Hammersmith lateral tilting test This is an important test of the infant neurological assessment process and this test is difficult to grade by visual observation It has been shown in this paper that the proposed video object tracking algorithm can be used to analyze the videos of fast moving objects by incorporating applicationspecific information For example the proposed tracking algorithm can be used to assess lateral tilting test of the Hammersmith infant neurological examinations The algorithm has been tested with several video recordings of this test which were captured at the neurodevelopment clinic of the SSKM Hospital Kolkata India during the period of the study It is found that the proposed algorithm is capable of estimating the score for the test with high values of sensitivity and specificityThe work has been funded by Ministry of Communication and Information Technology under Approval No 14/2009ME TMD 28082009 Department of Information Technology Govt of India The authors thank Dr Arunava Biswas and Asish Ghosh of the neurodevelopment clinic of the SSKM Hospital for their valuable suggestions related to the HINE process The work has been carried out by maintaining the ethical practices followed in SSKM Hospital Kolkata India Consents for recording the visuals of the examinations carried out on subjects participated in this study were taken from respective authorities Face and other visible organs of the subjects as well as the examiners have been blurred in the images for maintaining secrecy
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