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- W2772489632 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." @default.
- W2772489632 created "2017-12-22" @default.
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- W2772489632 date "2017-11-09" @default.
- W2772489632 modified "2023-09-27" @default.
- W2772489632 title "Keypoint-based object tracking and localization using networks of low-power embedded smart cameras." @default.
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