many environmental and physiological factors affect plant temperature. the objective of this study was to use thermal imagery to investigate robust features for early diagnosis of botrytis cinerea infection in cut rose flowers under the postharvest application of methyl jasmonate (meja). three cases treated with different concentrations of meja (0.1, 0.2, and 0.3 µl.l−1), a control (0 µl.l−1 me...

We propose a human body tracking method using a farinfrared sensor array. A far-infrared sensor array captures the spatial distribution of temperature as a low-resolution image. Since it is difficult to identify a person from the low-resolution thermal image, we can avoid privacy issues. Therefore, it is expected to be applied for the analysis of human behaviors in various places. However, it i...

In this paper, we present a new human detection scheme for thermal images by using CENsus TRansform hISTogram (CENTRIST) features and Support Vector Machines (SVMs). Human detection in a thermal image is a difficult task due to low image resolution, thermal noising, lack of color, and poor texture information. For thermal images, contour is one of the most useful and discriminative information,...

This work proposes a feature-based technique to recognize vehicle types within day and night times. Support vector machine (SVM) classifier is applied on image histogram and CENsus Transformed histogRam Oriented Gradient (CENTROG) features in order to classify vehicle types during the day and night. Thermal images were used for the night time experiments. Although thermal images suffer from low...

Most of the commercial nighttime pedestrian detection (PD) methods reported previously utilized the histogram of oriented gradient (HOG) or the local binary pattern (LBP) as the feature and the support vector machine (SVM) as the classifier using thermal camera images. In this paper, we propose a new feature called the thermal-position-intensity-histogram of oriented gradient (TPIHOG or T π HOG...

Despite successes in indoor access control applications, imaging in the visible spectrum demonstrates difficulties in recognizing the faces in varying illumination conditions. Face recognition using different imaging modalities, particularly infrared imaging sensors, has become an area of growing interest. The use of thermal infrared images can improve the performance of face recognition in unc...

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...