Tracking Moving Objects in Image Sequences Using 1-D Tajectory Filters

In the past decade or so, there have been magnetic developments in multimedia technologies. It has become very clear that that all aspects of media are digitized. Extending image processing from static individual images to image sequences opens up a new world of information. Image sequence processing is becoming a tremendous tool to analysis spatio-temporal data in all areas.
In part 1 of this thesis, we will focus on tracking the moving objects in the image sequence. First, the properties of this kind of signals and its frequency responses will be introduced. With this information in hand, the structure of the filter that can extract the moving object is known. Furthermore, we will propose a 1-D IIR filter in spatio-temporal domain for object tracking. Different from other multi-dimensional filter design methods for object tracking, it is easy to design and can be implemented without Fourier transform causing low computational complexity. The 1-D trajectory filter can be used to track the objects moving with linear or nonlinear trajectory without the prior knowledge of trajectories. The experimental results show that its performance is satisfactory and useful for real time practical applications.
In part 2, the cosine series windows with good detectability are introduced. By adding steerable sidelobe dips and achieving high sidelobe falloff rate, the windows can be used to detect a weak signal with a strong signal nearby. Furthermore, the amplitudes of the signals are also accurately estimated. These windows can be easy to design.