The Histograms of Oriented Gradients (HOG) can produce good results in an image target recognition mission, but it requires the same size images for classification inputs. In response to this shortcoming, paper performs spatial pyramid segmentation on any size, gets pixel each block dynamically, and further calculates normalizes gradient oriented feature region layer. new is called Histogram Sp...

In most of the video analysis applications, object detection and tracking play vital role. Most algorithms fail to predict multiple objects with varying orientation. this paper, goal is identify track using different feature extraction methods like Locality Sensitive Histogram, Histogram Oriented Gradients Edges. These features are subjected train classifier that can detect orientations. Experi...

Este trabalho apresenta uma visão comparativa entre os resultados obtidos pelos classificadores SVM (Support Vector Machine), PLS (Partial Least Square) e sua fusão, utilizando binarização descritores HOG (Histogram of Oriented Gradients) aplicados a um conjunto de dados 1907 fotos folhas em 32 espécies plantas diferentes. Os fusão obtêm acima 95% assertividade.

In this paper, we describe the Toshiba event detection system for TRECVID surveillance event detection task [1] that detects three TRECVID required events (E05:PersonRuns, E19:ElevatorNoEntry, and E20:OpposingFlow). Our system (“Toshiba_1 p-cohog_1”) consists of four components: (1) robust change detection based on the combination of pixel intensity histogram, PTESC (Peripheral TErnary Sign Cor...