Search for dissertations about: "multi-object smoothing"
Found 2 swedish dissertations containing the words multi-object smoothing.
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1. Deep Learning For Model-Based Multi-Object Tracking
Abstract : Multi-object tracking (MOT) is the task of estimating the state of multiple objects based on noisy sensor measurements. MOT is essential in various applications, such as pedestrian monitoring, vehicle tracking, animal behavior analysis, and others. READ MORE
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2. 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