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Stochastic Filters for Object Tracking

Salih, Yasir and Malik, Aamir Saeed (2011) Stochastic Filters for Object Tracking. In: IEEE 15th International Symposium on Consumer Electronics, 14-16 June, 2011, Singapore.

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Abstract

Stochastic filters have been extensively used for object tracking because of its ability to measure uncertainties and high accuracy. In recent years, the availability of cheap computers with high computational power has led to incorporate tracking systems in many consumer electronics devices such as surveillance cameras and game consoles. In this paper, we compare Kalman filter and particle filter tracking based on their computational time and estimation accuracy. These two filters represent 50% of the published work on object tracking in the last five years.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Research Institutes > Institute for Health Analytics
ID Code:6375
Deposited By: Dr Aamir Saeed Malik
Deposited On:05 Sep 2011 00:38
Last Modified:19 Jan 2017 08:22

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