Abstract
This paper proposes extended Generalized Hough Transform (GHT) to introduce training process by using Partial Least Squares (PLS) regression analysis. Hough transform can robustly detect patterns against noise and occlusions, and GHT is adapted to perform the generic object detection. However, GHT has a weak point in detecting object shape change. Thus, we introduced a training process to determine the voting weight of GHT by using PLS regression analysis. We call our method “PLS Hough transform”. Thereby, it becomes possible to generic object detection, while maintaining the framework of Hough-based object detection. Also, features are selected by Variable Influence on Projection (VIP) or regression coefficient obtained by PLS regression analysis. To confirm the effectiveness of our method, we applied PLS Hough transform to the vehicle detection from aerial and satellite images.
