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Cheng, Howard Ridwan, Iffatur 2018-01-23T17:10:33Z 2018-01-23T17:10:33Z 2017 https://hdl.handle.net/10133/5015 We 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 Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Sciences Arts and Science Department of Mathematics and Computer Science Thesis (University of Lethbridge. Faculty of Arts and Science) Communication and technology Computer systems event-based cameras looming object detection Looming object detection with event-based cameras Thesis Masters 0405 0984 Yes No open.access