Low-Latency Interactive Sensing for Machine Vision
| Autor: | Yohan Roh, Qiang Wang, Lee Hyunku, Hyunsurk Ryu, Paul K. J. Park, Yotam Ater, Jeonghan Kim, Junseok Kim, Chang Woo Shin, Liu Weiheng, Evgeny Soloveichik |
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| Rok vydání: | 2019 |
| Předmět: |
Person detection
021110 strategic defence & security studies Computer science Machine vision business.industry Motion recognition 0211 other engineering and technologies 02 engineering and technology Simultaneous localization and mapping Vision sensor Computer vision Artificial intelligence Latency (engineering) business |
| Zdroj: | 2019 IEEE International Electron Devices Meeting (IEDM). |
| Popis: | In this paper, we introduce the low-latency interactive sensing and processing solution for machine vision applications. The event-based vision sensor can compress the information of moving objects in a cost-effective way, which in turn, enables the energy-efficient and real-time processing in various applications such as person detection, motion recognition, and Simultaneous Localization and Mapping (SLAM). Our results show that the proposed technique can achieve superior performance than conventional methods in terms of accuracy and latency. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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