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High-Speed Object Tracking Using an Asynchronous Temporal Contrast Sensor
| Content Provider | CiteSeerX |
|---|---|
| Author | Bender, J. Kuijper, A. T. Von, L. Theisel, H. Saner, D. Wang, O. Heinzle, S. Pritch, Y. Smolic, A. Sorkine-Hornung, A. Gross, M. |
| Editor | Urban, P. |
| Abstract | Purely 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. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | High-speed Object Tracking Asynchronous Temporal Contrast Sensor Video Sequence Image-based Approach Motion Blur Single Video Frame Dynamic Vision Sensor Multi-modal Capture System Object Speed Camera Exposure Time Local Contrast Change Object Appearance Sensor Information Visual Capture Device Traditional Video Camera Additional Data High Speed |
| Content Type | Text |
