Paper Info
Title
Video analysis of Hammersmith lateral tilting examination using Kalman filter guided multi-path tracking.
Abstract
Video object tracking plays an important role in many computer vision-aided applications. This paper presents a novel multi-path analysis-based video object tracking algorithm. Trajectory of the moving object is refined using a Kalman filter-based 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 application-specific 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 specificity.
Year
DOI
Venue
2014
10.1007/s11517-014-1178-2
Med. Biol. Engineering and Computing
Keywords
Field
DocType
Infant neurological examinations, Lateral tilting, Video object tracking, Multi-path tracking
Visual observation,Computer vision,Object tracking algorithm,Multi path,Computer science,Kalman filter,Video tracking,Artificial intelligence,Trajectory
Journal
Volume
Issue
ISSN
52
9
1741-0444
Citations 
PageRank 
References 
1
0.36
17
Authors
7
Name
Order
Citations
PageRank
Debi Prosad Dogra122829.89
Vishal Badri210.36
Arun K. Majumdar3425157.40
Shamik Sural4100896.36
Jayanta Mukherjee537856.06
Suchandra Mukherjee6213.46
Arun Kumar Singh77727.01