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

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