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.
For achieving efficient action recognition, some recent works propose to select a smaller number of frames in a video sequence instead of the entire sequence of frames. In this study, we propose to represent a frame by a combination of local and global descriptors instead of the silhouette used in our previous approach aiming at frame selection. Action recognition is then executed on the basis of...
A new approach for quantizing feature vectors of interest points is proposed in this study. The method utilizes the histograms which work as a dimensionality reduction algorithm for quantizing the local and global features. The performance of activity recognition is generally depend upon the quantity of significant features but with proper feature quantization one can delivered the same performance...
This paper presents a novel scheme for human action recognition. First of all, we employ the curvature estimation to analyze human posture patterns and to yield the discriminative feature sequences. The feature sequences are further represented into sets of strings. Consequently, we can solve human action recognition problem by the string matching technique. In order to boost the performance of string...
There have recently been many methods proposed for matching face sequences in the field of face retrieval. However, most of them have proven to be inefficient in large-scale video databases because they frequently require a huge amount of computational cost to obtain a high degree of accuracy. We present an efficient matching method that is based on the face sequences (called face tracks) in large-scale...
In this work a new Reduced Reference (RR) Video Quality Metric (VQM) is proposed. The method takes advantage of the Human Visual System (HVS) sensitivity to sharp changes in the video. The proposed method has a spatial-temporal approach and because of that it is named as STAQ (Spatial-Temporal Assessment of Quality). In the first step of STAQ we take a temporal approach and find the matching regions...
Karyotyping, or the automatic classification of human chromosomes, is mostly based on the analysis of the chromosome specific banding pattern. Unfortunately, the most informative phases of the cell division cycle are composed of long chromosomes that easily overlap: the involved banding pattern information is corrupted, resulting in a drastic increase of the classification error. Assuming the availability...
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic.
In this paper, we present a people finding algorithm in cluttered scenes using Histogram of Oriented Gradients (HOG) approach. The people search operation in an image is performed by sliding a detection window and converting the content of each window to a HOG feature vector. HOG feature vectors are obtained from windows with humans and not containing any human (negative samples), and used to train...
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.