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Fast Electronic Digital Image Stabilization for Off-Road Navigation
Affiliation:1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (Southwest Petroleum University), Chengdu, Sichuan 610500, China;2. Department of Chemistry, LFTS, Lovely Professional University, Phagwara, Punjab 144402, India;3. Centre of Research Excellence in Corrosion, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia;4. Department of Chemistry, School of Mathematical & Physical Sciences, North-West University (Mafikeng Campus), Private Bag X2046, Mmabatho 2735, South Africa;5. Material Science Innovation & Modelling (MaSIM) Focus Area, Faculty of Agriculture, Science and Technology, North-West University (Mafikeng Campus), Private Bag X2046, Mmabatho 2735, South Africa;6. Department of Applied Chemistry, Indian Institute of Technology, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India;1. International Centre for Eye Health, Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK;2. Department of Clinical Medicine, Kenya Medical Training College, Nairobi, Kenya;3. Department of Ophthalmology, Stoke Mandeville Hospital, Aylesbury, UK;4. School of Optometry and Vision Science, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand;1. Materials Science and Metallurgic Engineering, Universitat de Barcelona, Martí i Franqués 1, 08028, Barcelona, Spain;2. GREA Innovació Concurrent, Universitat de Lleida, Edifici CREA, Pere de Cabrera s/n, 25001, Lleida, Spain;3. Center for Advanced Study of Lithium and Industrial Minerals (CELiMIN), University of Antofagasta, Av. Universidad de Antofagasta 02800, Campus Coloso, Antofagasta, Chile;1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, Sichuan, China;2. Department of Chemistry, School of Civil Engineering, LFTS, Lovely Professional University, Phagwara 144402, Punjab, India;3. School of Material Science and Engineering, Southwest Petroleum University, Chengdu 610500, Sichuan, China;4. CNPC Key Lab for Tubular Goods Engineering, Southwest Petroleum University, Chengdu 610500, Sichuan, China;5. Department of Chemistry, School of Mathematical & Physical Sciences, North-West University, Mafikeng Campus, Private Bag X2046, Mmabatho 2735, South Africa
Abstract:Image stabilization can be used as front-end system for many tasks that require dynamic image analysis, such as navigation and tracking of independently moving objects from a moving platform. We present a fast and robust electronic digital image stabilization system that can handle large image displacements based on a two-dimensional feature-based multi-resolution motion estimation technique. The method tracks a small set of features and estimates the movement of the camera between consecutive frames. Stabilization is achieved by combining all motion from a reference frame and warping the current frame back to the reference. The system has been implemented on parallel pipeline image processing hardware (a Datacube MaxVideo 200) connected to a SUN SPARCstation 20/612 via a VME bus adaptor. Experimental results using video sequences taken from a camera mounted on a vehicle moving on rough terrain show the robustness of the system while running at approximately 20 frames/s.
Keywords:
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