We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient based descriptors, we show experimentally that grids of Histograms of Oriented Gradient (HOG) descriptors significantly

oriented energy, followed by (texture) edge detection and a cross-correlator which performs the shape discrimination. Monte Carlo simulations of this model are in accord with the degradation in performance with increased Ax and decreased AtI Texture Texture gradient Spatial filtering

We integrate the cascade-of-rejectors approach with the Histograms of Oriented Gradients (HoG) features to achieve a fast and accurate human detection system. The features used in our system are HoGs of variable-size blocks that capture salient features of humans automatically. Using Ada

In this paper, we propose a new image descriptor, that is, a rotation invariant histogram of oriented gradients (RIHOG). RIHOG overcomes a disadvantage of the histogram of oriented gradients (HOG), which is very sensitive to image rotation. The HOG only uses magnitude values of a pixel without

Fast object detection using boosted co-occurrence histograms of oriented gradients

In this paper, a novel real-time human detection system based on Viola’s face detection framework and Histograms of Oriented Gradients (HOG) features is presented. Each bin of the histogram is treated as a feature and used as the basic building element of the cascade classifier. The system keeps

Abstract: Recrystallized commercial purity aluminum samples were deformed to true strains of 0.095 and 0.262 by uniaxial tension. Microtexture data were analyzed to quantify orientation gradients between the grain interior & grain boundary of nearest neighbor crystallites. The gradients were

Abstract In this paper we propose a human de-tection framework based on an enhanced version of Histogram of Oriented Gradients (HOG) fea-tures. These feature descriptors are computed with the help of a precalculated histogram of square-blocks. This novel method outperforms the inte-gral of oriented

represented by its own function approximator, independent of the value function, and is updated according to the gradient of expected reward with respect to the policy parameters. Williams's REINFORCE method and actor-critic methods are examples of this approach. Our main new result is to show

in inferior temporal cortex that are used for object recognition in primate vision. Features are efficiently detected through a staged filtering approach that identifies stable points in scale space. Image keys are created that allow for local geometric deformations by representing blurred image gradients