VISION AND RADIO FUSION BASED PRECISE INDOOR LOCALIZATION

    公开(公告)号:US20210149012A1

    公开(公告)日:2021-05-20

    申请号:US17107372

    申请日:2020-11-30

    Abstract: An embodiment includes at least one computer readable storage medium comprising instructions that when executed enable a system to: receive (a)(i) first radio signal location data for a first object from a radio sensor; and (a)(ii) first visual signal location data for the first object from a camera sensor; perform feature extraction on (b)(i) the first radio signal location data to determine first extracted radio signal features; and (b)(ii) the first visual signal location data to determine first extracted visual signal features; solve a first association problem between the first extracted radio signal features and the first extracted visual signal features to determine first fused location data; and store the first fused location data in the at least one computer readable storage medium. Other embodiments are described herein.

    Visual search and retrieval using semantic information

    公开(公告)号:US10303984B2

    公开(公告)日:2019-05-28

    申请号:US15156466

    申请日:2016-05-17

    Abstract: An apparatus for visual search and retrieval using sematic information is described herein. The apparatus includes a controller, a scoring mechanism, an extractor, and a comparator. The controller is to segment an incoming video stream into a plurality of activity segments, wherein each frame is associated with an activity. The scoring mechanism is to calculate a score for each segment, wherein the score is based, at least partially, on a classification probability of each frame. The extractor is to extract deep features from a highest ranked segment, and the comparator is to determine the top-K neighbors based on the deep features.

    Video summarization using semantic information

    公开(公告)号:US10949674B2

    公开(公告)日:2021-03-16

    申请号:US16298549

    申请日:2019-03-11

    Abstract: An apparatus for video summarization using sematic information is described herein. The apparatus includes a controller, a scoring mechanism, and a summarizer. The controller is to segment an incoming video stream into a plurality of activity segments, wherein each frame is associated with an activity. The scoring mechanism is to calculate a score for each frame of each activity, wherein the score is based on a plurality of objects in each frame. The summarizer is to summarize the activity segments based on the score for each frame.

    VISION AND RADIO FUSION BASED PRECISE INDOOR LOCALIZATION

    公开(公告)号:US20200309894A1

    公开(公告)日:2020-10-01

    申请号:US16776233

    申请日:2020-01-29

    Abstract: An embodiment includes at least one computer readable storage medium comprising instructions that when executed enable a system to: receive (a)(i) first radio signal location data for a first object from a radio sensor; and (a)(ii) first visual signal location data for the first object from a camera sensor; perform feature extraction on (b)(i) the first radio signal location data to determine first extracted radio signal features; and (b)(ii) the first visual signal location data to determine first extracted visual signal features; solve a first association problem between the first extracted radio signal features and the first extracted visual signal features to determine first fused location data; and store the first fused location data in the at least one computer readable storage medium. Other embodiments are described herein.

    Home environment management method and apparatus

    公开(公告)号:US09905126B2

    公开(公告)日:2018-02-27

    申请号:US15182437

    申请日:2016-06-14

    CPC classification number: G08C17/02 G06K7/10366

    Abstract: Embodiments of the present disclosure provide techniques and configurations for a system to manage a home environment. In one instance, an apparatus for managing a home environment may be configured to detect variations in parameters of signals provided by RFID tags disposed in the home environment to monitor the home environment. The apparatus may identify one or more conditions of an area of the home environment in which the RFID tags are disposed, based at least in part on the variations in the one or more parameters and respective locations of the RFID tags in the area of the home environment. The apparatus may select one or more actions, from a plurality of actions associated with the home environment, based at least in part on the identified conditions. The selected actions may be performed to respond to the identified conditions. Other embodiments may be described and/or claimed.

    Vision and radio fusion based precise indoor localization

    公开(公告)号:US11467247B2

    公开(公告)日:2022-10-11

    申请号:US17107372

    申请日:2020-11-30

    Abstract: An embodiment includes at least one computer readable storage medium comprising instructions that when executed enable a system to: receive (a)(i) first radio signal location data for a first object from a radio sensor; and (a)(ii) first visual signal location data for the first object from a camera sensor; perform feature extraction on (b)(i) the first radio signal location data to determine first extracted radio signal features; and (b)(ii) the first visual signal location data to determine first extracted visual signal features; solve a first association problem between the first extracted radio signal features and the first extracted visual signal features to determine first fused location data; and store the first fused location data in the at least one computer readable storage medium. Other embodiments are described herein.

    VIDEO SUMMARIZATION USING SEMANTIC INFORMATION

    公开(公告)号:US20210201047A1

    公开(公告)日:2021-07-01

    申请号:US17201969

    申请日:2021-03-15

    Abstract: Example apparatus disclosed herein are to process a first image of a first video segment from the image capture sensor with a machine learning algorithm to determine a first score for the first image, the machine learning algorithm to detect actions associated with images, the actions associated with labels. Disclosed example apparatus are also to determine a second score for the first video segment based on respective first scores for corresponding images in the first video segment. Disclosed example apparatus are further to determine, based on the second score, whether to retain the first video segment in the memory.

    VIDEO SUMMARIZATION USING SEMANTIC INFORMATION

    公开(公告)号:US20200012864A1

    公开(公告)日:2020-01-09

    申请号:US16298549

    申请日:2019-03-11

    Abstract: An apparatus for video summarization using sematic information is described herein. The apparatus includes a controller, a scoring mechanism, and a summarizer. The controller is to segment an incoming video stream into a plurality of activity segments, wherein each frame is associated with an activity. The scoring mechanism is to calculate a score for each frame of each activity, wherein the score is based on a plurality of objects in each frame. The summarizer is to summarize the activity segments based on the score for each frame.

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