A comparative study of multiple hypothesis and Viterbi based track stitching

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Using regions of interest to track landmarks for RGBD simultaneous localisation and mapping by Harribhai, Jatin I

“…This dissertation presents an alternate method to reduce the computational time. The proposed algorithm extracts features from a region of interest (ROI) to track landmarks for RGBD SLAM. …”
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Data fusion of radar and stereo vision for detection and tracking of moving objects by Botha, Frik

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Internet of things : least interference beaconing algorithms by Tuyishimire, Emmanuel

“…Secondly, building upon these limitations, we propose two improvements to the algorithm: an algorithm called LIBA+ that improves the algorithm performance by keeping track of the energy usage of the sensor nodes, and a multi-sink version of the algorithm called LIBAMN that extends the algorithm to account for multiple sinks or gateways. …”
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Development of 18F radiochemistry for positron emission particle tracking (PEPT) by Camroodien, Ameerah

“…Positron emission particle tracking (PEPT) is a non-invasive tracer-based measurement technique used to obtain dynamic information about multiphase systems. …”
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Bayesian online homography estimation and its use in multiple object tracking

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Development of a robust active infrared-based eye tracking system

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Anti-spoofing using challenge-response user interaction by Saad, Alia Mahmoud Khaled

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Measurement correlation in a target tracking system using range and bearing observations by Pistorius, Morne

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Evolutionary algorithms for optimising reinforcement learning policy approximation by Cuningham, Blake

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Background subtraction algorithms for a video based system by Profitt, Barton

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GAdaboost: Accelerating adaboost feature selection with genetic algorithms by Tolba, Mai

“…In this thesis we propose GAdaboost: A Genetic Algorithm to accelerate the training procedure of the Viola-Jones Rapid Object Detector through Feature Selection. …”
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Self-organising traffic control algorithms at signalised intersections by Einhorn, Mark David

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Optimised path planning and path tracking for autonomous vehicles with constrained kinematics in ROS by Maseko, Bongani

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Classification of customer complaints using machine learning algorithms by Kgomo, Teballo

“…These algorithms are trained on three different word vectorisation techniques namely: CV, TFIDF, and Word2Vec word-embedding. …”
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Learner experiences of transition from the General Education and Training band to the Further Education and Training band in science

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Eco-driving applications to freight trains

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Person tracking in 3D using Kalman filtering in single and multiple camera environments by Merven, Bruno

“…The system is able to initiate, maintain and terminate the tracks of several people in cluttered scenes. However, further optimisation of the algorithm is required to achieve tracking in real time.…”
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The impact of assimilating along-track SLA data on simulated Eddy characteristics in the Agulhas system by De Vos, Marc

“…To this end, an automatic eddy detection and tracking algorithm is implemented, in order to quantify eddy characteristics in a coherent and consistent manner.…”
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ADR-Miner: An Ant-based data reduction algorithm for classification by Abdel Salam, Ismail Mohamed Anwar

“…Data preparation is crucial to the data mining process, and its focus is to improve the tness of the training data for the learning algorithms to produce more e ective classi ers. …”
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