Title:	KEYPOINT-BASED OBJECT TRACKING AND LOCALIZATION USING NETWORKS OF LOW-POWER EMBEDDED SMART CAMERAS
Author(s):	Ibrahim Abdelkader, Yasser El-Sonbaty and Mohamed El-Habrouk
ISBN:	978-989-8533-66-1
Editors:	Yingcai Xiao and Ajith P. Abraham
Year:	2017
Edition:	Single
Keywords:	WSNs, Object Tracking, ORB, Machine Vision, Distributed Cameras
Type:	Short Paper
First Page:	295
Last Page:	299
Language:	English
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Paper 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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