The basidiomycetous fungus Wallemia ichthyophaga grows between 1.7 and 5.1 M NaCl and is the most halophilic eukaryote described to date. Like other fungi, W. ichthyophaga detects changes in environmental salinity mainly by the evolutionarily conserved high-osmolarity glycerol (HOG) signaling pathway. In Saccharomyces cerevisiae, the HOG pathway has been extensively studied in connection to osm...

Visual object tracking is one of the most vigorous research area in Computer Vision. A lot of algorithms already achieve high performance and accuracy. Whereas, most of visual object tracking algorithms proceed separately from detection algorithm because of difference between tracking and detection descriptor. Instead, we propose adaptive cell-size HoG (acHoG) based Particle Filter Tracking (PF...

In pernicious anemia, vitamin B12 deficiency develops owing to the failure of gastric intrinsicfactor secretion. Patients with this disease absorb vitamin B12 from the gastrointestinal tract when it is fed together with an extract of hog pyloric mucosa. Some patients have relapsed during the course of oral therapy with this mixture (1-3). These subjects absorb vitamin B1.2 administered with nor...

Face recognition has been a long standing problem in computer vision. Recently, Histograms of Oriented Gradients (HOGs) have proven to be an effective descriptor for object recognition in general and face recognition in particular. In this paper, we investigate a simple but powerful approach to make robust use of HOG features for face recognition. The three main contributions of this work are: ...

While Histograms of Oriented Gradients (HOG) plus Support Vector Machine (SVM) (HOG+SVM) is the most successful human detection algorithm, it is time-consuming. This paper proposes two ways to deal with this problem. One way is to reuse the features in blocks to construct the HOG features for intersecting detection windows. Another way is to utilize sub-cell based interpolation to efficiently c...

Object detection has over the past few years converged on using linear SVMs over HOG features. Training linear SVMs however is quite expensive, and can become intractable as the number of categories increase. In this work we revisit a much older technique, viz. Linear Discriminant Analysis, and show that LDA models can be trained almost trivially, and with little or no loss in performance. The ...

This paper presents a novel classification framework derived from AdaBoost to classify facial expressions. The proposed framework adopts rotation-reversal invariant HOG as features. The Framework is implemented through configuring the Area under ROC curve (AUC) of the weak classifier with HOG, which is a discriminative classification framework. The proposed classification framework is evaluated...

Statistical image descriptors based on histograms (e.g. SIFT [1], HOG [2]) are widely used in image processing, because they are fast and simple methods with high classification performance. However, they discard the local spatial topology and thus lose discriminative information contained in the image. We discuss the relations between HOG and VNMF descriptors, i.e. structure free histograms ve...

The histogram of oriented gradients (HOG)[3] is a widely used feature descriptor in computer vision for the purpose of object detection. In the paper, a modified HOG descriptor is described, it uses a lookup table and the method of integral image[2][4] to speed up the detection performance by a factor of 5∼10. By exploiting the special hardware features of a given platform(e.g. a digital signal...