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Showing 1 to 5 of 5 for “"Crowd analysis"”.

  1. ZiZoNet: A Zoom-In and Zoom-Out Mechanism for Crowd Counting in Static Images

    … social, political or musical events, automated crowd analysis can lead to effective and better management of such events to prevent any unwanted scene as well as avoid political manipulation of crowd numbers. Crowd counting remains an integral part of crowd analysis and also an active research …

    ku Repository record for ZiZoNet: A Zoom-In and Zoom-Out Mechanism for Crowd Counting in Static Images (opens in a new tab)

  2. The Rhetorical Rise and Fall of Tennessee Governor Frank G. Clement, 1952-1967

    … audiences by using a blend of religious fervor, crowd analysis, disciplined technique, and one-on-one empathy. From I952 until I956, Clement established himself as the nation's foremost political speaker, an ambitious and talented officeholder whose political path led to greater heights. Both the …

    wku-diss Repository record for The Rhetorical Rise and Fall of Tennessee Governor Frank G. Clement, 1952-1967 (opens in a new tab)

  3. Solving Mysteries with Crowds: Supporting Crowdsourced Sensemaking with a Modularized Pipeline and Context Slices

    … of expert analysts. Machine learning and crowdsourcing present new opportunities for large-scale sensemaking, but it remains a challenge to model the overall process so that many distributed agents can contribute to suitable components asynchronously and meaningfully. In this work, I …

    vt Repository record for Solving Mysteries with Crowds: Supporting Crowdsourced Sensemaking with a Modularized Pipeline and Context Slices (opens in a new tab)

  4. ICE-MILK: Intelligent Crowd Engineering using Machine-based Internet of Things Learning and Knowledge Building

    The lack of proper crowd safety control and management often leads to spreading human casualties and infectious diseases (e.g., COVID-19). Many Machine Learning (ML) technologies inspired by computer vision and video surveillance systems have been developed for crowd counting and density estimation …

    umkc Repository record for ICE-MILK: Intelligent Crowd Engineering using Machine-based Internet of Things Learning and Knowledge Building (opens in a new tab)

  5. A framework for video-driven crowd synthesis.

    We present a framework for video-driven crowd synthesis. The proposed framework employs motion analysis techniques to extract inter-frame motion vectors from the exemplar crowd videos. Motion vectors collected over the duration of the video are processed to compute global motion paths. These paths …

    uoit Repository record for A framework for video-driven crowd synthesis. (opens in a new tab)