Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of Oriented Gradients, i.e. HOG, features. A K-mean clustering technique is used in a cascade of HOG feature classifiers to detect faces. The evaluatio...

The paper describes a novel segmentation system based on the combination of Histogram of Oriented Gradients (HOG) descriptors and linear Support Vector Machine (SVM) classification for football video. Recently, HOG methods were widely used for pedestrian detection. However, presented experimental results show that combination of HOG and SVM is very promising for locating and segmenting players....

Cattle, fat (of which no more than 0.1 ppm is tetrachlorvinphos per se) ..................................................................... 0 .2 8/18/13 Cattle, kidney (of which no more than 0.05 ppm is tetrachlorvinphos per se) ............................................................. 1 .0 8/18/13 Cattle, liver (of which no more than 0.05 ppm is tetrachlorvinphos per se) ...................

In this paper we propose a human detection framework based on an enhanced version of Histogram of Oriented Gradients (HOG) features. These feature descriptors are computed with the help of a precalculated histogram of squareblocks. This novel method outperforms the integral of oriented histograms allowing the calculation of a single feature four times faster. Using Adaboost for HOG feature sele...

We evaluate the performance of the TLD algorithm using AdaBoost and SVMs with HOG, CNN, and raw features. We improve runtime performance through algorithmic and implementation optimizations and are able to achieve nearrealtime frame rates of over 10 FPS for selected videos. Our SVM-HOG implementation achieves an average overlap of 54% and 60%, and an average MAP of 67% and 66%, on the validatio...

Some of the properties of blood group A specific substances from enzymatic digests of pools of hog stomachs have been presented in the preceding report (1). However, since it was known that not all hog stomachs show A activity (2), it was considered of interest to determine whether better products could be isolated from individual hog stomachs. When stomach linings from a number of individual h...

Mitogen-activated protein kinase (MAPK) cascades are frequently used signal transduction mechanisms in eukaryotes. Of the five MAPK cascades in Saccharomyces cerevisiae, the high-osmolarity glycerol response (HOG) pathway functions to sense and respond to hypertonic stress. We utilized a partial loss-of-function mutant in the HOG pathway, pbs2-3, in a high-copy suppressor screen to identify pro...

HOG features are effective for object detection, but their focus on local regions makes them highdimensional features. To reduce the memory required for the HOG features, this paper proposes a new feature, R-HOG, which creates binary codes from the HOG features extracted from two local regions. This approach enables the created binary codes to reflect the relationships between local regions. Co...

This paper describes a Histogram of Oriented Gradients (HOG) feature extraction accelerator that features a VLSI-oriented HOG algorithm with early classification in Support Vector Machine (SVM) classification, dual core architecture for parallel feature extraction and multiple object detection, and detection-window-size scalable architecture with reconfigurable MAC array for processing objects ...

Pedestrian detection have been currently devoted to the extraction of effective pedestrian features, which has become one of the obstacles in pedestrian detection application according to the variety of pedestrian features and their large dimension. Based on the theoretical analysis of six frequently-used features, SIFT, SURF, Haar, HOG, LBP and LSS, and their comparison with experimental resul...