Blar i forfatter "Dogra, Debi Prasad"

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    • Can We Automate Diagrammatic Reasoning? 

      Sekh, Arif Ahmed; Dogra, Debi Prasad; Kar, Samarjit; Roy, Partha Pratim; Prosad, Dilip K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-05-06)
      Diagrammatic reasoning (DR) problems are well known. However, solving DR problems represented in 4 × 1 Raven’s Progressive Matrix (RPM) form using computer vision and pattern recognition has not yet been tried. Emergence of deep learning techniques aided by advanced computing can be exploited to solve such DR problems. In this paper, we propose a new learning framework by combining LSTM and Convolutional ...

    • Person Re-identification in Videos by Analyzing Spatio-temporal Tubes 

      Sekh, Arif Ahmed; Dogra, Debi Prasad; Choi, Heeseung; Chae, Seungho; Kim, Ig-Jae (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-23)
      Typical person re-identification frameworks search for <i>k</i> best matches in a gallery of images that are often collected in varying conditions. The gallery usually contains image sequences for video re-identification applications. However, such a process is time consuming as video re-identification involves carrying out the matching process multiple times. In this paper, we propose a new method ...

    • Video trajectory analysis using unsupervised clustering and multi-criteria ranking 

      Sekh, Arif Ahmed; Dogra, Debi Prasad; Kar, Samarjit; Roy, Partha Pratim (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-05-13)
      Surveillance camera usage has increased significantly for visual surveillance. Manual analysis of large video data recorded by cameras may not be feasible on a larger scale. In various applications, deep learning-guided supervised systems are used to track and identify unusual patterns. However, such systems depend on learning which may not be possible. Unsupervised methods relay on suitable features ...