Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2115-2120.
Abstract
Human object recognition in a physical 3-d environment is still far superior to that of any robotic vision system. We believe that one reason (out of many) for this — one that has not heretofore been significantly exploited in the artificial vision literature — is that humans use a fovea to fixate on, or near an object, thus obtaining a very high resolution image of the bject and rendering it easy to recognize. In this paper, we present a novel method for identifying and tracking objects in multi-resolution digital video of partially cluttered environments. Our method is motivated by biological vision systems and uses a learned attentive interest map on a low resolution data stream to direct a high resolution fovea. Objects that are recognized in the fovea can then be tracked using peripheral vision. Because object recognition is run only on a small foveal image, our system achieves performance in real-time object recognition and tracking that is well beyond simpler systems.
@inproceedings{ijcai2007p341,
title = {Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video},
author = {Gould, Stephen and Arfvidsson, Joakim and Kaehler, Adrian and Sapp, Benjamin and Messner, Marius and Bradski, Gary R. and Baumstarck, Paul and Chung, Sukwon and Ng, Andrew Y.},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2115--2120},
year = {2007},
url = {https://ijcai.org/proceedings/2007/341},
}
TY - CPAPER TI - Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video AU - Gould, Stephen AU - Arfvidsson, Joakim AU - Kaehler, Adrian AU - Sapp, Benjamin AU - Messner, Marius AU - Bradski, Gary R. AU - Baumstarck, Paul AU - Chung, Sukwon AU - Ng, Andrew Y. T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2115 EP - 2120 UR - https://ijcai.org/proceedings/2007/341 ER -Copied
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