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Object Detection and Tracking for ASV

2020Master thesis Open access
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dc.contributor.advisorSilva, Eduardo Alexandre Pereira da
dc.contributor.authorPatel, Dimpi Rajubhai
dc.date.accessioned2021-01-26T14:29:08Z
dc.date.available2021-01-26T14:29:08Z
dc.date.issued2020
dc.description.abstractIn this thesis automatic Object Detection system is presented. Object Detection is performed by different algorithms. As reading many literature we have observed that detecting objects in particular video sequence or by any surveillance cameras is a really challenging task in computer vision application because in sea the atmosphere affects a lot in the detection. Therefore we felt that there can be a wide range of possibilities are open in relation to detection. In order to improve the object detection, we developed image stabilization software on top of the image acquisition. First image stabilization has been performed over the raw data of ROAZ II. After achieving stabled video or images, object detection algorithm is performed using color based segmentation. Field tests have been performed with a data set from the ROAZ-II and during it shows the effectiveness of the approach. And system is able to achieve object detection in video or images with high accuracy.pt_PT
dc.identifier.tid202573613pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/16747
dc.language.isoengpt_PT
dc.subjectASVpt_PT
dc.subjectROAZ-IIpt_PT
dc.subjectStabilizationpt_PT
dc.subjectObject detectionpt_PT
dc.titleObject Detection and Tracking for ASVpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Engenharia Eletrotécnica e de Computadores - Sistemas Autónomospt_PT

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