TagAttention: Mobile Object Tracing without Object Appearance Information by Vision-RFID Fusion
| Autor: | Xiaofeng Shi, Haofan Cai, Ge Wang, Chen Qian, Minmei Wang, Baiwen Huang, Junjie Xie |
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| Rok vydání: | 2019 |
| Předmět: |
Matching (graph theory)
business.industry Computer science Track (disk drive) 05 social sciences 020206 networking & telecommunications Video camera 02 engineering and technology Tracing Object (computer science) Tracking (particle physics) law.invention law 0202 electrical engineering electronic engineering information engineering Trajectory 0501 psychology and cognitive sciences Computer vision Artificial intelligence business 050107 human factors Multipath propagation |
| Zdroj: | ICNP |
| Popis: | We propose to study mobile object tracing, which allows a mobile system to report the shape, location, and trajectory of the mobile objects appearing in a video camera and identifies each of them with its cyber-identity (ID), even if the appearances of the objects are not known to the system. Existing tracking methods either cannot match objects with their cyber-IDs or rely on complex vision modules pre-learned from vast and well-annotated datasets including the appearances of the target objects, which may not exist in practice. We design and implement TagAttention, a vision-RFID fusion system that archives mobile object tracing without the knowledge of the target object appearances and hence can be used in many applications that need to track arbitrary un-registered objects. TagAttention adopts the visual attention mechanism, through which RF signals can direct the visual system to detect and track target objects with unknown appearances. Experiments show TagAttention can actively discover, identify, and track the target objects while matching them with their cyber-IDs by using commercial sensing devices, in complex environments with various multipath reflectors. It only requires around one second to detect and localize a new mobile target appearing in the video aWe thank the anonymous reviewers for their suggestions and comments.nd keeps tracking it accurately over time. |
| Databáze: | OpenAIRE |
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