An improved object tracking algorithm based Kalman filtering is developed in this thesis. The algorithm uses a median filter and morphological operations during tracking. The problem created by object shadows is identified and the primary focus is to incorporate shadow detection and removal to improve tracking multiple objects in complex scenes. It is shown that the Kalman filter, without the improvements, fails to remove shadows that connect different objects. The application of the median filter helps the separation of different objects and thus enables the tracking of multiple objects individually. The performances of the Kalman filter and the improved tracking algorithm were tested on a highway video sequence of moving cars and it is shown that the proposed algorithm yields better performance in the presence of shadows.

In this research work, two new flickermeters are proposed to estimate the light flicker caused by electric arc furnaces (EAFs) where the system frequency deviates significantly. In these methods, analytical expressions of the instantaneous light flicker sensation are obtained beginning from a voltage waveform and these expressions are used to obtain a flicker estimation method based on the IEC (International Electrotechnical Commission) flickermeter. First method is a spectral decomposition based approach using DFT to estimate the light flicker. The leakage effect of the DFT algorithm due to fundamental frequency variation is reduced by employing spectral amplitude correction procedure around the fundamental frequency. Second method is a Kalman filter based approach, in which the frequency domain components of the voltage waveform are obtained by Kalman filtering. Then these components are used to obtain the light flicker. Since the frequency decomposition is obtained by Kalman filtering, no leakage effect of the DFT is involved in case of frequency deviations which is an important advantage. Both methods are tested on both simulated data and field data obtained from three different EAF plants where the flicker level and frequency variation is considerably high. The comparison with the digital realization of the IEC flickermeter shows that the methods are successful in estimating light flicker with low computational complexity. The methods are especially useful for conditions such as disturbances and subsequent system transients where the system frequency deviates significantly, since the methods avoid the need for online sampling rate adjustment to prevent the DFT leakage effect.