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Detection of Vehicles in Image

By Jakub Špaňhel


This thesis aims to implement the vehicle detection and tracking method based on the motion model suitable for real-time processing. The first part includes analysis of the commonly used methods. The second part introduces principles of implemented method. This method consists of low-level features extraction, the spatiotemporal profiling of extracted features and image intensities, and classification of obtained traces based on HMM. Subsequently experiments using this trustworthy method are conducted to locate areas of potential method improvements

Topics: detekce klíčových bodů; vehicle motion; dynamická identifikace cíle; OpenCV; real-time processing; skrytý Markovovský model (HMM); Vehicle detection; probability; feature detection; 1-D profiling; hidden Markov model (HMM); Detekce vozidel; in-car video; vehicle tracking; 1-D profilování; pravděpodobnosti; zpracování v reálném čase OpenCV; pohyb vozidla; video záběry z vozidla; tracking; sledování; dynamic target identification; sledování vozidel
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Year: 2013
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