Search Results - "Yixiao Yun"

Human fall detection via shape analysis on Riemannian manifolds with applications to elderly care by Yixiao Yun, Gu, Irene Yu-Hua

“…This paper addresses issues in fall detection from videos. The focus is on the analysis of human shapes which deform drastically in camera views while a person…”
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Time-dependent bag of words on manifolds for geodesic-based classification of video activities towards assisted living and healthcare by Yun, Yixiao, Gu, Irene Yu-Hua

“…In this paper, we address the problem of classifying activities of daily living (ADL) in video. The basic idea of the proposed method is to treat each human…”
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Fall detection in RGB-D videos by combining shape and motion features by Kumar, Durga Priya, Yixiao Yun, Gu, Irene Yu-Hua

“…This paper addresses issues in fall detection from RGB-D videos. The study focuses on measuring the dynamics of shape and motion of the target person, based on…”
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Multi-View ML Object Tracking With Online Learning on Riemannian Manifolds by Combining Geometric Constraints by Yixiao Yun, Gu, I. Y., Aghajan, H.

“…This paper addresses issues in object tracking with occlusion scenarios, where multiple uncalibrated cameras with overlapping fields of view are exploited. We…”
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Graph Construction for Salient Object Detection in Videos by Fu, Keren, Gu, Irene Y. H., Yixiao Yun, Chen Gong, Jie Yang

“…Recently many graph-based salient region/object detection methods have been developed. They are rather effective for still images. However, little attention…”
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Visual object tracking with online learning on Riemannian manifolds by one-class support vector machines by Yixiao Yun, Keren Fu, Gu, Irene Yu-Hua, Jie Yang

“…This paper addresses issues in video object tracking. We propose a novel method where tracking is regarded as a one-class classification problem of…”
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Riemannian manifold-based support vector machine for human activity classification in images by Yixiao Yun, Gu, Irene Yu-Hua, Aghajan, Hamid

“…This paper addresses the issue of classification of human activities in still images. We propose a novel method where part-based features focusing on human and…”
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Multi-view face pose classification by boosting with weak hypothesis fusion using visual and infrared images by Yixiao Yun, Gu, I. Y. H.

“…This paper proposes a novel method for multi-view face pose classification through sequential learning and sensor fusion. The basic idea is to use face images…”
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Multi-class ada-boost classification of object poses through visual and infrared image information fusion by Changrampadi, M. H., Yixiao Yun, Gu, I. Y. H.

“…This paper presents a novel method for pose classification using fusion of visual and thermal infrared(IR) images. We propose a novel tree structure…”
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Human fall detection in videos by fusing statistical features of shape and motion dynamics on Riemannian manifolds by Yun, Yixiao, Gu, Irene Yu-Hua

“…This paper addresses issues in fall detection in videos. We propose a novel method to detect human falls from arbitrary view angles, through analyzing dynamic…”
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3D limb movement tracking and analysis for neurological dysfunctions of neonates using multi-camera videos by Gu, Irene Yu-Hua, Sowulewski, Grzegorz, Yixiao Yun, Flisberg, Anders, Thordstein, Magnus

“…Central nervous system dysfunction in infants may be manifested through inconsistent, rigid and abnormal limb movements. Detection of limb movement anomalies…”
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Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living by Yun, Yixiao, Gu, Irene Yu-Hua

“…•Dynamic features of a falling person are represented as points moving on manifolds.•Human falls are characterized by velocity statistics based on…”
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Exploiting riemannian manifolds for daily activity classification in video towards health care by Yixiao Yun, Irene Yu-Hua Gu

“…This paper addresses the problem of classifying activities of daily living in video. The proposed method uses a tree structure of two layers, where in each…”
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Riemannian manifold-valued part-based features and geodesic-induced kernel machine for activity classification dedicated to assisted living by Yun, Yixiao, Gu, Irene Yu-Hua

“…•A dedicated ADL classification system to assisted living and healthcare is proposed.•Several essential activities are handled, including ADL like eating and…”
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Fall detection in RGB-D videos for elderly care by Yixiao Yun, Innocenti, Christopher, Nero, Gustav, Linden, Henrik, Gu, Irene Yu-Hua

“…This paper addresses issues in fall detection from videos. Since it has been a broadly accepted intuition that a falling person usually undergoes large…”
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Maximum-likelihood object tracking from multi-view video by combining homography and epipolar constraints by Yixiao Yun, Gu, I. Y.-H, Aghajan, H.

“…This paper addresses problem of object tracking in occlusion scenarios, where multiple uncalibrated cameras with overlapping fields of view are used. We…”
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Head pose classification by multi-class AdaBoost with fusion of RGB and depth images by Yixiao Yun, Changrampadi, Mohamed H., Gu, Irene Y. H.

“…This paper addresses issues in multi-class visual object classification, where sequential learning and sensor fusion are exploited in a unified framework. We…”
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Multi-view hand tracking using epipolar geometry-based consistent labeling for an industrial application by Yixiao Yun, Gu, Irene Yu-Hua, Provost, Julien, Akesson, Knut

“…This paper addresses a visual tracking and analysis method for automatic monitoring of an industrial manual assembly process, where each worker sequentially…”
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Video-based detection and analysis of driver distraction and inattention by Yixiao Yun, Gu, Irene Y. H., Bolbat, Mikhail, Khan, Zulfiqar Hasan

“…This paper addresses two issues for mitigating driver distraction/inattention by using novel video analysis techniques: (a) inside an ego vehicle, driver…”
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Riemannian Manifold-Based Modeling and Classification Methods for Video Activities with Applications to Assisted Living and Smart Home by Yun, Yixiao

“…This thesis mainly focuses on visual-information based daily activity classification, anomaly detection, and video tracking through using visual sensors. The…”
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