Browsing by Subject "Object detection"

Now showing items 1-5 of 5

  • Contextual models for object detection using boosted random fields 

    Unknown author (2004-06-25)
    We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and ...

  • Contextual models for object detection using boosted random fields 

    Unknown author (2004-06-25)
    We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and local ...

  • Fast and Accurate Feature-based Region Identification 

    Maduakor, Francis (AUST, 2019-06-20)
    There have been several improvements in object detection and semantic segmentation results in recent years. Baseline systems that drive these advances are Fast/Faster R-CNN, Fully Convolutional Network and recently Mask ...

  • Sharing visual features for multiclass and multiview object detection 

    Unknown author (2004-04-14)
    We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifiers to the image, at multiple locations and ...

  • Sharing visual features for multiclass and multiview object detection 

    Unknown author (2004-04-14)
    We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifiers to the image, at multiple locations and ...