Looming object detection with event-based cameras

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dc.contributor.authorRidwan, Iffatur
dc.contributor.supervisorCheng, Howard
dc.date.accessioned2018-01-23T17:10:33Z
dc.date.available2018-01-23T17:10:33Z
dc.date.issued2017
dc.degree.levelMastersen_US
dc.description.abstractWe present a looming object detection method for event-based cameras. Event-based cameras detect events asynchronously which eliminates the unnecessary computation required for the conventional frame-based cameras. There are two main parts of this method. In the first part, we develop an event-based optical flow algorithm. The algorithm is based on Reichardt motion detectors inspired by the fly visual system and has a very low computational requirement for each event received from the event-based camera. In the second part, we develop an algorithm to detect looming objects using the output from the first algorithm. This proposed method is only sensitive to significant log-luminance changes, which results in low energy consumption. We have performed several experiments with our method using the Davis Dynamic Vision Sensor (DVS) which is an event-based camera. Experimental results show that our event-based looming detection algorithm accurately detects looming objects in all cases when there is a single object moving in the scene. It also does not report looming when no objects are looming. Our algorithm is fast and operates in real-time, requiring only microseconds to process each event.en_US
dc.embargoNoen_US
dc.identifier.urihttps://hdl.handle.net/10133/5015
dc.language.isoenen_US
dc.proquest.subject0405en_US
dc.proquest.subject0984en_US
dc.proquestyesYesen_US
dc.publisherLethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Sciencesen_US
dc.publisher.departmentDepartment of Mathematics and Computer Scienceen_US
dc.publisher.facultyArts and Scienceen_US
dc.relation.ispartofseriesThesis (University of Lethbridge. Faculty of Arts and Science)en_US
dc.subjectCommunication and technologyen_US
dc.subjectComputer systemsen_US
dc.subjectevent-based camerasen_US
dc.subjectlooming object detectionen_US
dc.titleLooming object detection with event-based camerasen_US
dc.typeThesisen_US
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