People Detection in Color and Infrared Video Using HOG and Linear SVM
نویسندگان
چکیده
This paper introduces a solution for detecting humans in smart spaces through computer vision. The approach is valid both for images in visible and infrared spectra. Histogram of oriented gradients (HOG) is used for feature extraction in the human detection process, whilst linear support vector machines (SVM) are used for human classification. A set of tests is conducted to find the classifiers which optimize recall in the detection of persons in visible video sequences. Then, the same classifiers are used to detect people in infrared video sequences obtaining excellent results.
منابع مشابه
Action Change Detection in Video Based on HOG
Background and Objectives: Action recognition, as the processes of labeling an unknown action of a query video, is a challenging problem, due to the event complexity, variations in imaging conditions, and intra- and inter-individual action-variability. A number of solutions proposed to solve action recognition problem. Many of these frameworks suppose that each video sequence includes only one ...
متن کاملImplementation of Brain Tumor Detection using Segmentation Algorithm & SVM
In this paper, we implemented an automated system for brain tumor detection, the main functionality of this system is divided in some parts are Segmentation, Object Labeling, HOG (Histogram Oriented Gradient), feature extraction and linear SVM implementation. For Segmentation we are using K-means algorithm, for Object Labeling HOG is use, HOG also use to extract texture feature, shape context f...
متن کاملFootball Player Detection in Video Broadcast
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....
متن کاملOpponent Colors for Human Detection
Human detection is a key component in fields such as advanced driving assistance and video surveillance. However, even detecting non-occluded standing humans remains a challenge of intensive research. Finding good features to build human models for further detection is probably one of the most important issues to face. Currently, shape, texture and motion features have deserve extensive attenti...
متن کاملA Hybrid Algorithm based on Deep Learning and Restricted Boltzmann Machine for Car Semantic Segmentation from Unmanned Aerial Vehicles (UAVs)-based Thermal Infrared Images
Nowadays, ground vehicle monitoring (GVM) is one of the areas of application in the intelligent traffic control system using image processing methods. In this context, the use of unmanned aerial vehicles based on thermal infrared (UAV-TIR) images is one of the optimal options for GVM due to the suitable spatial resolution, cost-effective and low volume of images. The methods that have been prop...
متن کامل