Search for dissertations about: "Tracking algorithm"
Showing result 1 - 5 of 164 swedish dissertations containing the words Tracking algorithm.
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1. Acoustic Sound Source Localisation and Tracking : in Indoor Environments
Abstract : With advances in micro-electronic complexity and fabrication, sophisticated algorithms for source localisation and tracking can now be deployed in cost sensitive appliances for both consumer and commercial markets. As a result, such algorithms are becoming ubiquitous elements of contemporary communication, robotics and surveillance systems. READ MORE
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2. Expressing emotions through vibration for perception and control
Abstract : This thesis addresses a challenging problem: “how to let the visually impaired ‘see’ others emotions”. We, human beings, are heavily dependent on facial expressions to express ourselves. A smile shows that the person you are talking to is pleased, amused, relieved etc. READ MORE
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3. Segmentation and tracking of cells and particles in time-lapse microscopy
Abstract : In biology, many different kinds of microscopy are used to study cells. There are many different kinds of transmission microscopy, where light is passed through the cells, that can be used without staining or other treatments that can harm the cells. READ MORE
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4. Recursive Bayesian Estimation : Navigation and Tracking Applications
Abstract : Recursive estimation deals with the problem of extracting information about parameters, or states, of a dynamical system in real time, given noisy measurements of the system output. Recursive estimation plays a central role in many applications of signal processing, system identification and automatic control. READ MORE
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5. Conjugate priors for Bayesian object tracking
Abstract : Object tracking refers to the problem of using noisy sensor measurements to determine the location and characteristics of objects of interest in clutter. Nowadays, object tracking has found applications in numerous research venues as well as application areas, including air traffic control, maritime navigation, remote sensing, intelligent video surveillance, and more recently environmental perception, which is a key enabling technology in autonomous vehicles. READ MORE