High-Speed Object Tracking Using an Asynchronous Temporal Contrast Sensor

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dc.contributor.authorSaner, Danielen_US
dc.contributor.authorWang, Oliveren_US
dc.contributor.authorHeinzle, Simonen_US
dc.contributor.authorPritch, Yaelen_US
dc.contributor.authorSmolic, Aljoschaen_US
dc.contributor.authorSorkine-Hornung, Alexanderen_US
dc.contributor.authorGross, Markusen_US
dc.contributor.editorJan Bender and Arjan Kuijper and Tatiana von Landesberger and Holger Theisel and Philipp Urbanen_US
dc.date.accessioned2014-12-16T07:26:15Z
dc.date.available2014-12-16T07:26:15Z
dc.date.issued2014en_US
dc.description.abstractPurely image-based approaches to tracking objects in video sequences are more prone to failure the higher an object's speed, as it covers a greater distance over the camera's exposure time and is subject to increased motion blur. These algorithms are also susceptible to changes in the object's appearance and illumination. In this paper, we approach this problem by asynchronously recording local contrast change at high speed, using a type of visual capture device called a Dynamic Vision Sensor (DVS). We use this additional data to determine motion that takes place during the exposure of a single video frame. We present a multi-modal capture system incorporating both a DVS and a traditional video camera, a method to register the different types of sensor information, and finally apply these datasets to challenging object tracking scenarios.en_US
dc.description.seriesinformationVision, Modeling & Visualizationen_US
dc.identifier.isbn978-3-905674-74-3en_US
dc.identifier.urihttps://doi.org/10.2312/vmv.20141280en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]en_US
dc.subjectScene Analysisen_US
dc.subjectSensor fusionen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]en_US
dc.subjectScene Analysisen_US
dc.subjectTrackingen_US
dc.titleHigh-Speed Object Tracking Using an Asynchronous Temporal Contrast Sensoren_US
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