@inproceedings{abeysinghe2004motrack3DPaper,
 author = {Sasakthi S. Abeysinghe and Krishanthan Loganathan},
 title = {Shape modeling and matching in identifying protein structure from low-resolution images},
 booktitle = {11th Annual sessions of the IEE-Sri Lanka},
 year = {2004},
 location = {Colombo, Sri Lanka},
 abstract = {Today, three-dimensional motion tracking is implemented using magnetic, fibre optic and 
		mechanical techniques that share a common setback: the need for physical contact with the 
		target. Although vision-based techniques provide a contact-free motion tracking solution, 
		they have not been commercially used due to their high resource requirements and code complexity. 
		This paper describes a generic platform that would hide the complexity of vision-based techniques 
		and provide location information via a simple and open protocol. The first step of the solution 
		involves capturing information using multiple image sources, which can be low-cost web-cams or 
		even specialised wide-angle cameras. These image streams are thereafter sent to the Server 
		component that separates the targets from the background using image differencing and a threshold 
		function. Thereafter, a noise reduction algorithm is used to eliminate salt and pepper noise. 
		The flood-fill algorithm is used on the result to identify the borders of each target within 
		each image stream. Finally, the three-dimensional locations of the targets are calculated within 
		the server component using Epipolar geometry. The location information is thereafter sent to 
		software and hardware clients using an open protocol based on the Extensible Markup Language. 
		The RSA encryption algorithm is used in this protocol to ensure the confidentiality of the 
		information being transmitted. Analysis of the developed prototype has demonstrated its practical 
		applicability thereby making vision-based three-dimensional motion tracking more accessible to 
		the commercial and academic worlds.},
}

@mastersthesis{abeysinghe2004motrack3DDissertation,
 author = {Sasakthi S. Abeysinghe and Krishanthan Loganathan},
 title = {MoTrack3D: Three-dimensional motion tracking using stereo vision},
 school = {Manchester Metropolitan University}
 address = {Manchester, USA},
 month = {September}
 year = {2004},
 abstract = {Today, three-dimensional motion tracking is implemented using magnetic, fibre optic and 
		mechanical techniques which share a common setback: the need of physical contact with the target. 
		Nevertheless, vision-based techniques provide a contact-free motion tracking solution, but have 
		not been commercially used due to its high resource requirements and code complexity. The purpose 
		of this project was to create a generic platform which would hide the complexity of vision-based 
		techniques and provide location information via a simple and open protocol. Similar products and 
		user requirements were analysed and a solution was designed using the Unified Modelling Language. 
		The prototype was implemented using Borland Delphi 7.0 on Microsoft Windows XP using an evolutionary, 
		horizontal prototyping approach together with Rapid Application Development techniques. Image 
		processing techniques together with Epipolar Geometry was used in motion tracking algorithms, 
		while the Extensible Markup Language together with RSA encryption was used to create an open 
		client-server communications protocol. An expert evaluation was conducted with eight experts 
		of four user-groups to identify the strengths and weaknesses of the solution. These evaluations 
		have confirmed the success of the project, making vision-based three-dimensional motion tracking 
		more accessible to the commercial and academic worlds.},
}