Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion
نویسندگان
چکیده
This paper investigates the robustness of a new thermal-infrared pedestrian detection system under different outdoor environmental conditions. In first place the algorithm for pedestrian ROI extraction in thermal-infrared video based on both thermal and motion information is introduced. Then, the evaluation of the proposal is detailed after describing the complete thermal and motion information fusion. In this sense, the environment chosen for evaluation is described, and the twelve test sequences are specified. For each of the sequences captured from a forward-looking infrared FLIR A-320 camera, the paper explains the weather and light conditions under which it was captured. The results allow us to draw firm conclusions about the conditions under which it can be affirmed that it is efficient to use our thermal-infrared proposal to robustly extract human ROIs.
منابع مشابه
Fusion of Thermal Infrared and Visible Images Based on Multi-scale Transform and Sparse Representation
Due to the differences between the visible and thermal infrared images, combination of these two types of images is essential for better understanding the characteristics of targets and the environment. Thermal infrared images have most importance to distinguish targets from the background based on the radiation differences, which work well in all-weather and day/night conditions also in land s...
متن کاملConcurrent Self-organizing Maps for Pedestrian Detection in Thermal Imagery
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...
متن کاملAdvanced Surveillance Systems: Combining Video and Thermal Imagery for Pedestrian Detection
In the current context of increased surveillance and security, more sophisticated surveillance systems are needed. One idea relies on the use of pairs of video (visible spectrum) and thermal infrared (IR) cameras located around premises of interest. To automate the system, a dedicated image processing approach is required, which is described in the paper. The first step in the proposed study is...
متن کاملReal Time Pedestrian Tracking using Thermal Infrared Imagery
In the study, a real time pedestrian tracking algortithm is presented using thermal infrared imagery. It makes use of the characteristics of pedestrian body regions in infrared images, which is based on a particle filter framework. The method constructs the regions of interest's (ROI) histogram representation in an intensity-distance projection space model, so as to hurdle the disadvantage of i...
متن کاملThermal-Visual Facial Feature Extraction Based on Nostril Mask
This paper aims to present facial features extraction by integrating 2 different sensors that will be used in the estimation of internal mental state. Thermal infrared and visible camera are being used in the stimulus experiment by measuring three facial areas of sympathetic importance which is periorbital, supraorbital and maxillary through purely imaging means in thermal infrared spectrums. T...
متن کامل