An Introduction to Random Forests for Multi-class Object Detection

@inproceedings{Gall2011AnIT,
  title={An Introduction to Random Forests for Multi-class Object Detection},
  author={Juergen Gall and N. Razavi and L. Gool},
  booktitle={Theoretical Foundations of Computer Vision},
  year={2011}
}
  • Juergen Gall, N. Razavi, L. Gool
  • Published in
    Theoretical Foundations of…
    2011
  • Computer Science
  • Object detection in large-scale real-world scenes requires efficient multi-class detection approaches. Random forests have been shown to handle large training datasets and many classes for object detection efficiently. The most prominent example is the commercial application of random forests for gaming [37]. In this paper, we describe the general framework of random forests for multi-class object detection in images and give an overview of recent developments and implementation details that… CONTINUE READING
    43 Citations
    Fast growing hough forest as a stable model for object detection
    • A. Tran, A. Manzanera
    • Computer Science
    • 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)
    • 2016
    • 2
    • PDF
    Near Real-time Object Detection in RGBD Data
    • 3
    • Highly Influenced
    • PDF
    Large scale pattern detection in videos and images from the wild
    Leveraging the Spatial Label Structure for Semantic Image Labeling using Random Forests
    • PDF
    Challenges and issues in intelligent video surveillance system
    • 1
    Rethinking random Hough Forests for video database indexing and pattern search
    • 3
    • PDF

    References

    SHOWING 1-10 OF 46 REFERENCES
    Object Class Segmentation using Random Forests
    • 233
    • PDF
    Class-specific Hough forests for object detection
    • 381
    Scalable multi-class object detection
    • 68
    • PDF
    On Detection of Multiple Object Instances Using Hough Transforms
    • 275
    • PDF
    On Detection of Multiple Object Instances Using Hough Transforms
    • 59
    Efficient object detection and segmentation with a cascaded Hough Forest ISM
    • 24
    • PDF
    Image Classification using Random Forests and Ferns
    • 1,302
    • PDF
    Hough Forests for Object Detection, Tracking, and Action Recognition
    • 567
    • PDF
    Discriminative generalized hough transform for object dectection
    • R. Okada
    • Mathematics, Computer Science
    • 2009 IEEE 12th International Conference on Computer Vision
    • 2009
    • 71
    Object Detection with Discriminatively Trained Part Based Models
    • 8,637
    • Highly Influential
    • PDF