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.
The primary objective of automated motion semantic classification would be to recognizing events in close similarity with human like perception. This work proposes novel modifications to the standard spectral clustering algorithm in enhancing its capacity to capture human like semantics for visual event classification. The proposed novel multi-feature aggregation strategy replicates human like decision...
Overexposure causes a multitude of problems when videos of highly dynamic environments are used for computer vision applications. Foreground separation, feature detection and clustering operations get severely affected. One reason for this is the saturation or clipping of the color channels in cameras, under bright illumination conditions. Clustering the similar background data in a single cluster...
Independent Component Analysis (ICA) is a class of blind source separation which can be successfully used for extracting unknown independent source signals from a set of signal mixtures. In this study, we introduce a new method for separation of acoustic source signals using frequency domain complex valued ICA. Although the conventional time domain ICA algorithms can be effectively used for extraction...
A novel method of modelling pixel distributions for foreground detection in rapidly fluctuating dynamic background conditions is presented in this paper. A comprehensive study of the characteristics of pixel behaviour in videos of backgrounds in clear water under natural lighting conditions has been presented in this work. Videos from real world situations such as in swimming pools and ponds where...
Fingerprinting based techniques have become a popular solution for indoor localization applications due to their robust performance compared to other approaches even in environments with non-line of sight and multipath conditions. Most of these techniques use Euclidean distance based algorithms such as k-nearest neighbors in the matching phase. This paper introduces a selective parameter weighting...
This paper proposes a spectral clustering based methodology to classify video events and to detect anomalies. Feature trajectories from objects in a video are modelled, compared and clustered in order to classify the detected object events. Principles of normalized spectral clustering are used with modifications to affinity structure. A novel method for determining spectral clustering parameters based...
The work presents a comprehensive methodology for recognition of temporally progressing hand gestures. Motion measurements associated with the hand position, orientation and finger bending are considered as time-series data sets and utilized for the recognition process. In addressing the hand gesture recognition problem in its multi-feature nature, a novel methodology for discovering relevant features...
In this paper, approaches to develop subspace-based classifiers for material based signal classification are presented. Material based signal classification is essential in many applications for the identification of the cause of the acoustic signal. Four approaches are presented in this paper for classification. They are namely, classification via eigen-filter characteristics, eigenvector projection...
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.