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.
Ship detection is nowadays quite an important issue in tasks related to sea traffic control, fishery management and ship search and rescue. Although it has traditionally been carried out by patrol ships or aircrafts, coverage and weather conditions can become a problem. Synthetic aperture radars can surpass these coverage limitations and work under any climatological condition. Three ship detectors...
As an alternative to vector-based descriptors, such as SIFT and SURF, more computationally efficient binary descriptors, such as BRISK and ORB, have recently been proposed. These binary descriptors are usually used in combination with a novel scale-space FAST-based detector to be suitable for real-time applications, but it consumes more time than creating binary descriptors. Therefore, if accuracy...
In this paper, we present a real-time and energy-efficient multi-scale object detector using Histogram of Oriented Gradient (HOG) features and Support Vector Machine (SVM) classification. Parallel detectors with balanced workload are used to enable processing of multiple scales and increase the throughput such that voltage scaling can be applied to reduce energy consumption. Image pre-processing is...
This paper presents an event-driven categorization system which processes the address events from a Dynamic Vision Sensor. Using neuromorphic processing, cortex-like spike-based features are extracted by an event-driven MAX-like convolutional network. The extracted spike patterns are then classified by an Online Sequential Extreme Learning Machine with Auto Encoder. Using a Lookup Table, we achieve...
This paper presents an error-resilient wavelet-based ECG processor under voltage overscaling (VOS). A novel predictor based on weighted-average bilateral estimation (WBE) is proposed and used for algorithmic noise tolerance (ANT) that compensates the VOS-incurred errors. A two-stage ANT mechanism using heterogeneous error-detection techniques is developed, which enhances the robustness of ANT. This...
The palmprint recognition has become a focus in biological recognition and image processing fields. In this process, the features extraction (with particular attention to palmprint principal line extraction) is especially important. Although a lot of work has been reported, the representation of palmprint is still an open issue. In this paper we propose a simple, efficient, and accurate palmprint...
The missing data problem exists in a lot of transportation systems while many traffic applications require accurate traffic data to work well. So, various methods were proposed for traffic data imputation in recent years. However, most of these approaches only consider the information of a single detector. In this paper, we use the temporal and spatial information collected from multiple detectors...
Anemia, a condition characterized by insufficient hemoglobin, affects 56.2% of pregnant women and 66.1% of children under five in low-resource countries. Though hemoglobin concentration measurement is the most common laboratory test in the world, the high cost of disposables (>$1.00 per test in Malawi) limits its availability in these settings. We have demonstrated a spectrophotometric method that...
The use of smartphones for pedestrian positioning applications has become important in recent years. Algorithms for detecting steps and estimating their length can be found throughout the literature. In this paper we present new algorithms that increase the accuracy of the estimated step length and decrease the number of undetected steps. Unlike state of the art algorithms, that use the acceleration...
Smile detection received a enormous attention due to its famous application as a ‘smile shutter’ in digital cameras. Edge Orientation Histograms (EOH) is one of the possible feature descriptors in a smile detector. This paper presents an evaluation of the use of Edge Orientation Histograms in a lip image based smile detector. The system built in this paper aims to discriminate lip images depicting...
A novel fast-scanning Fabry-Perot spectrum nalyzer is presented that uses substrate-based, wire-grid olarizers as the reflectors. One improvement over previous esigns is the continuous tuning of the reflectivity, and hence pectral resolution, via the angular orientation of the wire-grid xis with respect to the incident polarization. Another mprovement is the ability of these polarizing reflectors...
In this article, a non-signature based statistical scanner for metamorphic malware detection, employing feature ranking methods like Term Frequency-Inverse Document Frequency-Class Frequency (TF-IDF-CF), Galavotti-Sebastiani-Simi Coefficient (GSS), Term Significance (TS) and Odds Ratio (OR) is proposed. Malware and benign models for classification are created by considering top ranked features obtained...
Direction-of-Arrival (DOA) detection finds a large number of applications from security and monitoring purposes to industrial automation. Recently, the Six-Port receiver technique has been succesfully implemented to perform accurate DOA measurements. Furthermore, the dual Six-Port DOA detection approach has been introduced to perform an ambiguity-free detection over a wide DOA range. In this paper...
A current source based on clocked single electron transfer is the natural candidate for the realization of the SI base unit ampere following a future redefinition by a fixed value of the elementary charge e. However, the single electron transfer relies on quantum mechanical tunneling and thus is of inherent stochastic nature. This leads to small deviations of the actual current from the nominal value...
Vision based hand tracking is an important area of human machine interaction (HCI) and virtual reality techniques. However, it is still a great challenge. Due to the complicated environment and various hand appearances, it is difficult to realize stable and long-term tracking. In this paper, we proposed an effective approach to detect and track hand with a normal webcam. An integrating multi-cue detector...
To unfold a solution for the detection of metamorphic viruses (obfuscated malware), we propose a non signature based approach using feature selection techniques such as Categorical Proportional Difference (CPD), Weight of Evidence of Text (WET), Term Frequency-Inverse Document Frequency (TF-IDF) and Term Frequency-Inverse Document Frequency-Class Frequency (TF-IDF-CF). Feature selection methods are...
Context provides additional information in detection and tracking and several works proposed online trained trackers that make use of the context. However, the context is usually considered during tracking as items with motion patterns significantly correlated with the target. We propose a new approach that exploits context in tracking-by-detection and makes use of persistent false positive detections...
The analysis of videos taken by active operators recording human interactions and activities in the field presents a new set of challenges. For brevity in this paper we will call such subject centric field grade videos ad hoc videos of events. Human test subjects readily segment ad hoc videos of events into scene-like segments. These segmentations can not be replicated by the state of the art automatic...
Previous research on facial expression recognition mainly focuses on near frontal face images, while in realistic interactive scenarios, the interested subjects may appear in arbitrary non-frontal poses. In this paper, we propose a framework to recognize six prototypical facial expressions, namely, anger, disgust, fear, joy, sadness and surprise, in an arbitrary head pose. We build a multi-pose training...
In this paper, we aim to improve one of the current state-of-the-art models for facial components detection/localization. The objectives are to increase the amount of landmark points detected and improve the landmark extraction accuracy for frontal faces. The model is following Zhu and Ramanan's approach with a tree-structure. The popular AR dataset is chosen as an alternative training dataset as...
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.