In the paper [1] published in CVPR, we presented a method that can directly use deformable part models (DPMs) trained as in [3]. After training, HOG based part filters are hashed, and, during inference, counts of hashing collisions summed over all hash bands serve as a proxy for part-filter / sliding-window dot products, i.e., filter responses. These counts are an approximation and so we take t...

The paper presents an original approach for pedestrian detection in thermal imagery using Histogram of Oriented Gradients (HOG) for feature extraction and the neural network classifier called Concurrent Self-Organizing Maps (CSOM), previously introduced by first author. The proposed algorithm has the following main stages: (a) detection of the regions of interest (ROI); (b) feature selection us...

PROBLEM To determine whether neighbors around manure lagoons and massive hog confinement buildings who complained of offensive odors and symptoms had impaired brain and lung functions. METHOD We compared near hog manure neighbors of lagoons to people living beyond 3 kilometers in Ohio and to unexposed people controls in a nearby state for neurophysiological, cognitive, recall and memory funct...

Hog kidney Acylase I, an enzyme which hydrolyzes N-acetylL-amino acids, has been purified approximately 40-fold by Greenstein (1). During the course of the purification of hog kidney dialkylfluorophosphatase, it was consistently found that the protein fractions containing DFPasel activity also possessed very high Acylase I activity. Inasmuch as the DFPase and Acylase I activities were found to ...

Received Dec 9, 2016 Revised Jun 17, 2017 Accepted Sep 17, 2017 Digital understanding of Indian classical dance is least studied work, though it has been a part of Indian Culture from around 200BC. This work explores the possibilities of recognizing classical dance mudras in various dance forms in India. The images of hand mudras of various classical dances are collected form the internet and a...

We propose an extension of popular descriptors based on gradient orientation histograms (HOG, computed in a single image) to multiple views. It hinges on interpreting HOG as a conditional density in the space of sampled images, where the effects of nuisance factors such as viewpoint and illumination are marginalized. However, such marginalization is performed with respect to a very coarse appro...

A multisector model was formulated to simulate the effects of recombinant porcine somatotropin (pST) on the U.S. hog-pork industry. A producer sector submodel was specified for nine hog-producing states, and a retail-wholesale sector was specified on a national level. Four pST adoption scenarios were tested; these differed in the extent of feed cost reduction (15 vs 25%) with or without premium...

In this paper Histogram Oriented Gradient (HOG) features are extracted to classify the postures in a Indian classical dance video dataset. The aim is to design an automated system that can recognize the steps of Indian classical dance in a video. As a video consists of frames of different actions, so features representing shapes can be used to interpret the dance steps. HOG based features are c...

Content based image retrieval is the technique to retrieve similar images from a database that are visually similar to a given query image. It is an active and emerging research field in computer vision. In our proposed system, the Interest points based Histogram of Oriented Gradients (HOG) feature descriptor is used to retrieve the relevant images from the database. The dimensionality of the H...

In this paper, an effective method is proposed to handle the facial expression recognition problem. The system detects the face and facial components including eyes, brows and mouths. Since facial expressions result from facial muscle movements or deformations, and Histogram of Oriented Gradients (HOG) is very sensitive to the object deformations, we apply the HOG to encode these facial compone...