HOG AND STATISTICAL FEATURES OFPOTATOES USING MATLAB
نویسندگان
چکیده
منابع مشابه
Pedestrian detection using HoG features
Human Detection in Images is a contemporary Computer Vision problem, still welcoming improved solutions. This subset area of object detection has seen many attempts made towards efficient implementation and in this project proposal we describe one based on Histogram of Oriented Gradients which proves to be superior than the rest in terms of both Detection rate and Error rate when using a Linear...
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During the last decade, various successful human detection methods have been developed. However, most of these methods are focused on finding powerful features or classifiers to obtain high detection rate. In this work we introduce a pedestrian detection and tracking system to extract and track human objectives using an on board monocular camera. The system is composed of three stages. A pedest...
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Histogram of Oriented Gradients (HOG) features are a trending topic in object detection literature. HOG features are a robust way of describing local object appearances and shapes by their distribution of intensity gradients or edge directions, and have been used successfully as a low level feature in a number of object recognition tasks. Human faces are generally considered interesting and imp...
متن کاملClassification of Indian Classical Dance Steps using HOG Features
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...
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The purpose of this paper is to describe one-shot-learning gesture recognition systems developed on the ChaLearn Gesture Dataset (ChaLearn). We use RGB and depth images and combine appearance (Histograms of Oriented Gradients) and motion descriptors (Histogram of Optical Flow) for parallel temporal segmentation and recognition. The Quadratic-Chi distance family is used to measure differences be...
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ژورنال
عنوان ژورنال: Volume IV Issue IV, April 2019
سال: 2019
ISSN: 2454-2024
DOI: 10.30780/ijtrs.v04.i04.002