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arXiv · 1712.01635

Keypoint-based object tracking and localization using networks of low-power embedded smart cameras

Ibrahim Abdelkader·Yasser El-Sonbaty·Mohamed El-Habrouk
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Abstract

Object tracking and localization is a complex task that typically requires processing power beyond the capabilities of low-power embedded cameras. This paper presents a new approach to real-time object tracking and localization using multi-view binary keypoints descriptor. The proposed approach offers a compromise between processing power, accuracy and networking bandwidth and has been tested using multiple distributed low-power smart cameras. Additionally, multiple optimization techniques are presented to improve the performance of the keypoints descriptor for low-power embedded systems.

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Ibrahim Abdelkader, Yasser El-Sonbaty, Mohamed El-Habrouk. 2017-11-09. Keypoint-based object tracking and localization using networks of low-power embedded smart cameras. https://arxiv.org/abs/1712.01635

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