Reconstruction of occluded ROI in multi-person gait based on numerical methods
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DOI: 10.1007/s00530-019-00641-9
Abstract: Occlusion is an important factor for analysis of human gait recognition in real-time scenarios. In multi-person gait (MPG) or dynamic occlusion, gait recognition is affected due to occluded body parts known as region of interests… read more here.
Keywords: reconstruction; reconstruction occluded; person gait; multi person ... See more keywords
Multi‐person pose estimation using atrous convolution
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DOI: 10.1049/el.2019.0351
Abstract: The technology of human keypoint localisation has been greatly improved with the development of deep neural network. In particular, recent methods that exploit multi-scale features and cascaded networks have achieved the accurate prediction of multi-person… read more here.
Keywords: using atrous; multi person; atrous convolution; keypoint ... See more keywords
Multi-Person Pose Estimation Using Thermal Images
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DOI: 10.1109/access.2020.3025413
Abstract: Human pose estimation is an important task for several applications, such as video surveillance systems. However, color (i.e., RGB) images may not always be available under certain conditions, such as privacy issues and lack of… read more here.
Keywords: estimation using; person pose; pose estimation; multi person ... See more keywords
Active Shooter Detection in Multiple-Person Scenario Using RF-Based Machine Vision
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DOI: 10.1109/jsen.2020.3028362
Abstract: Emerging applications of radio frequency (RF) vision sensors for security and gesture recognition primarily target single individual scenarios which restricts potential applications. In this article, we present the design of a cyber-physical framework that analyzes… read more here.
Keywords: person; vision; machine; active shooter ... See more keywords
Multi-Person Breathing Detection With Switching Antenna Array Based on WiFi Signal
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Translational Engineering in Health and Medicine"
DOI: 10.1109/jtehm.2022.3218638
Abstract: WiFi sensing, an emerging sensing technology, has been widely used in vital sign monitoring. However, most respiration monitoring studies have focused on single-person tasks. In this paper, we propose a multi-person breathing sensing system based… read more here.
Keywords: person breathing; frequency; multi person; person ... See more keywords
Integral Knowledge Distillation for Multi-Person Pose Estimation
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DOI: 10.1109/lsp.2020.2975426
Abstract: Both accuracy and efficiency are of equal importance to the human pose estimation. Most of the existing methods simply pursue excellent performance, sacrificing massive computing resources and memory. Out of this consideration, we present a… read more here.
Keywords: multi person; knowledge distillation; pose estimation; distillation ... See more keywords
Multi-Person Vital Signs Identification System by Doppler Radars and Thermal Camera.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on biomedical circuits and systems"
DOI: 10.1109/tbcas.2022.3147827
Abstract: During the global epidemic, non-contact methods for monitoring the vital signs of several people have become particularly important. Advanced signal processing techniques have recently been demonstrated to separate and track the vital signs of multiple… read more here.
Keywords: person vital; vital signs; doppler radars; multi person ... See more keywords
Multi-Metric Re-Identification for Online Multi-Person Tracking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3059250
Abstract: Multi-person tracking plays a vital role in intelligent video surveillance systems and has attracted researchers’ growing attention in recent years. This paper proposes a tracking-by-detection method to detect and track all existing persons in video… read more here.
Keywords: person tracking; identification; frame; multi person ... See more keywords
Multi-Person Pose Estimation With Accurate Heatmap Regression and Greedy Association
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3153044
Abstract: Multi-person pose estimation aims at localizing the 2D keypoints (or body joints) for all the people in the image. There are mainly two paradigms to perform this task: top-down and bottom-up. In this paper, we… read more here.
Keywords: heatmap regression; multi person; keypoint; heatmap ... See more keywords
Multi-Person Activity Recognition in Continuously Monitored Smart Homes
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DOI: 10.1109/tetc.2021.3072980
Abstract: Activity recognizers are challenging to design for continuous, in-home settings. However, they are notoriously difficult to create when there is more than one resident in the home. Despite recent efforts, there remains a need for… read more here.
Keywords: recognition; recognition continuously; multi person; activity ... See more keywords
PolarPose: Single-Stage Multi-Person Pose Estimation in Polar Coordinates
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3239192
Abstract: Regression based multi-person pose estimation receives increasing attention because of its promising potential in achieving realtime inference. However, the challenges in long-range 2D offset regression have restricted the regression accuracy, leading to a considerable performance… read more here.
Keywords: pose estimation; regression; multi person; estimation polar ... See more keywords