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RI | Publications | Sensory Attention: Computational Sensor Paradigm for Low-Latency Adaptive Vision
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Sensory Attention: Computational Sensor Paradigm for Low-Latency Adaptive Vision
V. Brajovic and T. Kanade
Proceedings of the 1997 DARPA Image Understanding Workshop, May, 1997.
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| Abstract |
The need for robust selfcontained and low-latency vision systems is growing: high speed visual servoing and visionbased human computer interface. Conventional vision systems can hardly meet this need because 1) the latency is incurred in a data transfer and computational bottlenecks, and 2) there is no topdown feedback to adapt sensor performance for improved robustness. In this paper we present a tracking computational sensor - a VLSI implementation of a sensory attention. The tracking sensor focuses attention on a salient feature in its receptive field and maintains this attention in the world coordinates. Using both lowlatency massive parallel processing and topdown sensory adaptation, the sensor reliably tracks features of interest while it suppresses other irrelevant features that may interfere with the task at hand.
| Notes |
Associated center: VASC
Associated project: Fast VLSI Range-Image Sensor
| Text Reference |
V. Brajovic and T. Kanade, "Sensory Attention: Computational Sensor Paradigm for Low-Latency Adaptive Vision," Proceedings of the 1997 DARPA Image Understanding Workshop, May, 1997.
| BibTeX Reference |
@inproceedings{Brajovic_1997_966,
author = "Vladimir Brajovic and Takeo Kanade",
title = "Sensory Attention: Computational Sensor Paradigm for Low-Latency Adaptive Vision",
booktitle = "Proceedings of the 1997 DARPA Image Understanding Workshop",
month = "May",
year = "1997"
}