Before revision: Implementation of this approach follows a standard procedure for processing the image data that consists of first creating a densely sampled image pyramid, computing features at each scale, performing classification at all possible locations, and finally performing non-maximal suppression to generate the final set of bounding boxes.Hyunggi Cho, Paul E. Rybski, Aharon Bar-Hillel and Wende Zhang "Real-time Pedestrian Detection with Deformable Part Models" Patch-based detection Recently Leibe et al.B.Leibe, E. Seemann, and B. Schiele.
After revision: Implementation of this approach follows a standard procedure for processing the image data that consists of first creating a densely sampled image pyramid, computing features at each scale, performing classification at all possible locations, and finally performing non-maximal suppression to generate the final set of bounding boxes.Hyunggi Cho, Paul E. Rybski, Aharon Bar-Hillel and Wende Zhang "Real-time Pedestrian Detection with Deformable Part Models" Patch-based detection In 2005, Leibe et al.B.Leibe, E. Seemann, and B. Schiele.