Cascade object detection with deformable part models

• Published in: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 2241 - 2248
• Main Authors: Felzenszwalb, P F, Girshick, R B, McAllester, D
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2010
• Subjects: Buildings; Deformable models; Detection algorithms; Dynamic programming; Object detection; Statistical analysis; Statistical distributions; Testing; Training data; Visualization

We describe a general method for building cascade classifiers from part-based deformable models such as pictorial structures. We focus primarily on the case of star-structured models and show how a simple algorithm based on partial hypothesis pruning can speed up object detection by more than one or...