Search Results - "Chau, Duc Phu"

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  1. 1

    A Novel Tool for Gait Analysis: Validation Study of the Smart Insole PODOSmart by Ziagkas, Efthymios, Loukovitis, Andreas, Zekakos, Dimitrios Xypolias, Chau, Thomas Duc-Phu, Petrelis, Alexandros, Grouios, George

    Published in Sensors (Basel, Switzerland) (06-09-2021)
    “…The new smart insole PODOSmart®, is introduced as a new tool for gait analysis against high cost laboratory based equipment. PODOSmart® system measures walking…”
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    Journal Article
  2. 2

    Online Recognition of Daily Activities by Color-Depth Sensing and Knowledge Models by Crispim-Junior, Carlos Fernando, Gómez Uría, Alvaro, Strumia, Carola, Koperski, Michal, König, Alexandra, Negin, Farhood, Cosar, Serhan, Nghiem, Anh Tuan, Chau, Duc Phu, Charpiat, Guillaume, Bremond, Francois

    Published in Sensors (Basel, Switzerland) (29-06-2017)
    “…Visual activity recognition plays a fundamental role in several research fields as a way to extract semantic meaning of images and videos. Prior work has…”
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    Journal Article
  3. 3

    Automatic tracker selection w.r.t object detection performance by Duc Phu Chau, Bremond, Francois, Thonnat, Monique, Bak, Slawomir

    “…The tracking algorithm performance depends on video content. This paper presents a new multi-object tracking approach which is able to cope with video content…”
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    Conference Proceeding
  4. 4

    Multi-target tracking by discriminative analysis on Riemannian manifold by Bak, S., Duc-Phu Chau, Badie, J., Corvee, E., Bremond, F., Thonnat, M.

    “…This paper addresses the problem of multi-target tracking in crowded scenes from a single camera. We propose an algorithm for learning discriminative…”
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    Conference Proceeding
  5. 5

    Online tracking parameter adaptation based on evaluation by Duc Phu Chau, Badie, Julien, Bremond, Francois, Thonnat, Monique

    “…Parameter tuning is a common issue for many tracking algorithms. In order to solve this problem, this paper proposes an online parameter tuning to adapt a…”
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    Conference Proceeding
  6. 6

    Robust global tracker based on an online estimation of tracklet descriptor reliability by Lan Anh, Nguyen Thi, Phu, Chau Duc, Bremond, Francois

    “…The complex scene conditions such as light change, high density of mobile objects or object occlusion can cause object mis-detections. When a tracker can not…”
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    Conference Proceeding
  7. 7

    Online parameter tuning for object tracking algorithms super() by Chau, Duc Phu, Thonnat, Monique, Bremond, Francois, Corvee, Etienne

    Published in Image and vision computing (01-04-2014)
    “…Object tracking quality usually depends on video scene conditions (e.g. illumination, density of objects, object occlusion level). In order to overcome this…”
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    Journal Article
  8. 8

    Online parameter tuning for object tracking algorithms by Chau, Duc Phu, Thonnat, Monique, Brémond, François, Corvée, Etienne

    Published in Image and vision computing (01-04-2014)
    “…Object tracking quality usually depends on video scene conditions (e.g. illumination, density of objects, object occlusion level). In order to overcome this…”
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    Journal Article
  9. 9

    Automatic Parameter Adaptation for Multi-object Tracking by Chau, Duc Phu, Thonnat, Monique, Bremond, François

    Published 13-05-2013
    “…Object tracking quality usually depends on video context (e.g. object occlusion level, object density). In order to decrease this dependency, this paper…”
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    Journal Article
  10. 10

    Object Tracking in Videos: Approaches and Issues by Chau, Duc Phu, Bremond, François, Thonnat, Monique

    Published 18-04-2013
    “…The International Workshop "Rencontres UNS-UD" (RUNSUD) (2013) Mobile object tracking has an important role in the computer vision applications. In this paper,…”
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    Journal Article
  11. 11

    Automatic Tracker Selection w.r.t Object Detection Performance by Chau, Duc Phu, Bremond, François, Thonnat, Monique, Bak, Slawomir

    Published 08-04-2014
    “…The tracking algorithm performance depends on video content. This paper presents a new multi-object tracking approach which is able to cope with video content…”
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    Journal Article
  12. 12

    Feature matching using CO-inertia analysis for people tracking by Simha, Srinidhi Mukanahallipatna, Chau, Duc Phu, Bremond, Francois

    “…Robust object tracking is a challenging computer vision problem due to dynamic changes in object pose, illumination, appearance and occlusions. Tracking…”
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    Conference Proceeding
  13. 13

    A multi-feature tracking algorithm enabling adaptation to context variations by Chau, Duc Phu, Bremond, François, Thonnat, Monique

    Published 06-12-2011
    “…We propose in this paper a tracking algorithm which is able to adapt itself to different scene contexts. A feature pool is used to compute the matching score…”
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    Journal Article
  14. 14

    Online Tracking Parameter Adaptation based on Evaluation by Chau, Duc Phu, Badie, Julien, Bremond, François, Thonnat, Monique

    Published 22-07-2013
    “…Parameter tuning is a common issue for many tracking algorithms. In order to solve this problem, this paper proposes an online parameter tuning to adapt a…”
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    Journal Article
  15. 15

    A multi-feature tracking algorithm enabling adaptation to context variations by Chau, D.P, Bremond, F, Thonnat, M

    “…We propose in this paper a tracking algorithm which is able to adapt itself to different scene contexts. A feature pool is used to compute the matching score…”
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    Conference Proceeding
  16. 16

    Robust Mobile Object Tracking Based on Multiple Feature Similarity and Trajectory Filtering by Chau, Duc Phu, Bremond, François, Thonnat, Monique, Corvee, Etienne

    Published 14-06-2011
    “…The International Conference on Computer Vision Theory and Applications (VISAPP) (2011) This paper presents a new algorithm to track mobile objects in…”
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    Journal Article
  17. 17

    Repairing People Trajectories Based on Point Clustering by Chau, Duc Phu, Bremond, Francois, Corvee, Etienne, Thonnat, Monique

    Published 02-07-2010
    “…The International Conference on Computer Vision Theory and Applications (VISAPP), Lisboa : Portugal (2009) This paper presents a method for improving any…”
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    Journal Article
  18. 18

    Online evaluation of tracking algorithm performance by Due Phu Chau, Bremond, F, Thonnat, M

    “…This paper presents a method to evaluate online the performance of tracking algorithms in surveillance videos. We use a set of features to compute the…”
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    Conference Proceeding