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Showing 1 to 6 of 6 for “"Tracking-by-detection"”.

  1. Deep learning-based framework for traffic estimation for the MLK Smart Corridor in downtown Chattanooga, TN

    … a deep learning-based framework for vehicles detection, tracking, movement direction identification, and speed estimation. We chose YOLOv7 for objects detection given its ability to run up to 160 fps. We trained YOLOv7 to detect and classify vehicles into four classes with a reported mean …

    utc Repository record for Deep learning-based framework for traffic estimation for the MLK Smart Corridor in downtown Chattanooga, TN (opens in a new tab)

  2. Visual object tracking

    Visual object tracking is a critical task in many computer-vision-related applications, such as surveillance and robotics. If the tracking target is provided in the first frame of a video, the tracker will predict the location and the shape of the target in the following frames. Despite the …

    uts Repository record for Visual object tracking (opens in a new tab)

  3. High throughput livestock monitoring using computer vision

    … in continuously locating individual pigs using tracking-by-detection methods. However, these methods fail for oblong pens because a single fixed camera does not cover the entire floor at adequate resolution. We address this problem by using multiple cameras, placed such that the visual fields of …

    uiuc Repository record for High throughput livestock monitoring using computer vision (opens in a new tab)

  4. Improved 2D Camera-Based Multi-Object Tracking for Autonomous Vehicles

    Effective multi-object tracking is crucial for autonomous vehicles to navigate safely and efficiently in dynamic environments. To make autonomous vehicles more affordable one area to address is the computational limitations of the sensors, therefore, cameras are often the first choice sensor. Three …

    vt Repository record for Improved 2D Camera-Based Multi-Object Tracking for Autonomous Vehicles (opens in a new tab)

  5. Robust Video Object Tracking via Camera Self-calibration

    … reconstruction based on robust video object tracking assisted by camera self-calibration is proposed, which includes several algorithmic components. (1) An algorithm for joint camera self-calibration and automatic radial distortion correction based on tracking of walking persons is designed …

    washington Repository record for Robust Video Object Tracking via Camera Self-calibration (opens in a new tab)

  6. Improving manufacturing operations using deep learning: Multi-faceted research in monitoring, diagnosis, and optimization

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms

    uiuc Repository record for Improving manufacturing operations using deep learning: Multi-faceted research in monitoring, diagnosis, and optimization (opens in a new tab)