The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Object tracking is an important part of many visual systems. The robot navigation task, for example, does not only require a robust and accurate tracking, but also need the tracking module to perform in real-time. This may not be a problem with hi-end robotic system with powerful computing unit. However, in the case of mobile robot where the computing and the battery power are limited, there are only...
Even in a highly digitized world most of us live in, paper or physical forms (survey, multiple choices exam, etc.) are still playing an important roles. They are not only cheap and convenient, but also the only legal form of documents according to laws in many countries. Currently, these physical forms are mostly handled by hand. Otherwise, we need special forms with special filling instructions....
This paper presents an appearance-based method for estimating head direction that automatically adapts to individual scenes. Appearance-based estimation methods usually require a ground-truth dataset taken from a scene that is similar to test video sequences. However, it is almost impossible to acquire many manually labeled head images for each scene. We introduce an approach that automatically aggregates...
Support Vector Machine (SVM) is a classifier tool which, originally, uses a hyperplane as a border for separating two classes of data in hyperspace. However, if data from each class are not clustered together, the two classes might not be linearly separable. Typically, researchers attempted to resolve this issue by replacing the hyperplane with a complex border via kernel tricks. However, these kernel...
The task of classifying mixed Thai-English characters carries considerable challenges due to the number and complexity of the characters. This paper proposes and empirically investigates the performance of a classification system that uses Histogram of Oriented Gradient as an image feature with Support Vector Machine as a classification tool. The experiments were done on the datasets provided by NECTEC...
Head pose estimation from low resolution video can be a difficult task due to the limited quantity and quality of pixels which can be harvested for information. In this work, we propose a method for tracking change in head pose by solving a texture detection problem in an orientation space. In another words, the current head pose can be tracked by employed a local binary pattern based comparison between...
We propose an appearance-based head pose estimation method that can be automatically adapted to individual scenes. Appearance-based estimation methods usually require a ground-truth dataset taken from a scene which is similar to test video sequences. However, it is almost impossible to acquire many manually-labeled head images for each scene. To address the problem, we introduce a new approach for...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.