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We investigated whether men and women use different scanning strategies to extract the visual information relevant for the recognition of female and male faces. We used an old-new recognition task during which observers were asked to identify previously learned faces. Data from two groups of observers (male, female) revealed a more accurate, but not faster, recognition of male face stimuli. Interestingly,...
The performance of pattern classifiers depends on the separability of the classes in the feature space — a property related to the quality of the descriptors — and the choice of informative training samples for user labeling — a procedure that usually requires active learning. This work is devoted to improve the quality of the descriptors when samples are superpixels from remote sensing images. We...
The Spatial Pyramid Matching approach has become very popular to model images as sets of local bag-of-words. The image comparison is then done region-by-region with an intersection kernel. Despite its success, this model presents some limitations: the grid partitioning is predefined and identical for all images and the matching is sensitive to intra- and inter-class variations. In this paper, we propose...
It is well known that image representations learned through ad-hoc dictionaries improve the overall results in object categorization problems. Following the widely accepted coding-pooling visual recognition pipeline, these representations are often tightly coupled with a coding stage. In this paper we show how to exploit ad-hoc representations both within the coding and the pooling phases. We learn...
Content-based image retrieval systems typically rely on a similarity measure between image vector representations, such as in bag-of-words, to rank the database images in decreasing order of expected relevance to the query. However, the inherent asymmetry of k-nearest neighborhoods is not properly accounted for by traditional similarity measures, possibly leading to a loss of retrieval accuracy. This...
This paper presents a labeled multi-Bernoulli filter for track-before-detect with a special focus on visual tracking of multiple targets in video. We show that labeled multi-Bernoulli distribution is a conjugate prior for an image likelihood function with a specific separable form. Following a previously formulated likelihood function (with the desirable separable form) using background subtraction,...
We investigate the neural correlates of visual working memory using electroencephalography (EEG). Our objective is to develop a cognitive Brain-Computer Interface (BCI) able to monitor visual working memory load in real-time. A system with these properties would eventually have different applications, such as training, rehabilitation, or safety while operating dangerous machinery. The BCI performances...
In this paper we present a novel algorithm for fast and robust stereo visual odometry based on feature selection and tracking (SOFT). The reduction of drift is based on careful selection of a subset of stable features and their tracking through the frames. Rotation and translation between two consecutive poses are estimated separately. The five point method is used for rotation estimation, whereas...
Since the beginning of the 21th century, with the continuous development of information technology, it has been the difficulty and hotpot in understanding field to study and analyze sports videos with computer technology. Because soccer videos have a broad mass background, it is more valuable to research on it. At present, there are many researches based on trajectory information of players or balls...
Introduced the idea of visual saliency in computer vision, the model of flame detection is proposed based on the temporal-spatial visual saliency. Firstly, the Lab color space is obtained, then three channels (L, a, b) are segmented with threshold and filtered in Gaussian. The grayscale integral projection method is used to extract the brightness saliency of flame. Secondly, the flame region of interest...
Emblematic gesture pictures were presented to subjects as probes in relation to semantically congruent and incongruent sentences to investigate if there is a similar cognitive processing network for congruity as there is with words. Subjects had to perform a simple discrimination task while undergoing EEG recordings. The ERPs elicited by semantically incongruent gestures produced larger N400 and possibly...
This paper presents a novel road/terrain classification system based on the analysis of volunteered geographic information gathered by bikers. By ubiquitous collection of multi-sensor bike data, consisting of visual images, accelerometer information and GPS coordinates of the bikers' smartphone, the proposed system is able to distinguish between 6 different road/terrain types. In order to perform...
With rapid advances in technology and connectivity, the capability to capture data from multiple sources has given rise to multiview learning wherein each object has multiple representations and a learned model, whether supervised or unsupervised, needs to integrate these different representations. Multiview learning has shown to yield better predictive and clustering models, it also is able to provide...
Human-action recognition through local spatio-temporal features have been widely applied because of their simplicity and its reasonable computational complexity. The most common method to represent such features is the well-known Bag-of-Words approach, which turns a Multiple-Instance Learning problem into a supervised learning one, which can be addressed by a standard classifier. In this paper, a...
In this paper we propose an improvement of a human action recognition method that uses a string-based representation and a string edit distance to compare the observed action with reference actions in the training set. In particular, the original improvement is based on a specific formulation of the string edit distance that is more suited to take into account the problems related to noise and to...
In the paper the idea of the visual self-localization of mobile robots based on the estimation of image similarity is discussed. It is assumed that a rough position of the mobile robot is known e.g. from the built-in GPS device. Assuming known orientation of the robot, the main advantage of the application of image analysis algorithms is the increase of the self-localization accuracy. The basic idea...
In this paper, a Binary Robust Invariant Scalable Keypoints (BRISK) based detection is utilized to facilitate the flying unmanned aerial vehicle (UAV) localization within its autonomous landing on the runway. Specifically, two target detection algorithms are proposed and developed as the BRISK-supported approach. Dataset of images and differential GPS are recorded by a ground stereo vision guidance...
Contemporary media entail colour-coded information. While an average viewer takes colour images for granted, individuals with colour vision deficiency have difficulties in discriminating certain colour combinations and, consequently, have difficulties in perceiving image features. Well-established simulation tools allow us to see the image from their perspective that goes beyond the stereotypical...
Array jet dispensing technique plays an important role in micro assembly, especially for parts with different materials. An automatic array jet dispensing system was developed in this paper for micro inertial devices assembly. In order to have uniform original drop position of the adhesive array and easy monitoring, a machine vision module was integrated. The image processing and coordinate transformation...
This paper proposes a reliable and efficient method for recognition in two different orientations (either left or right) by Magnetoencephalograph (MEG) signals. The brain activities are measured using different approaches with different spatial and temporal resolutions. The MEG signals are usually used for brain-computer interface (BCI) applications due to high temporal resolution. The MEG signals...
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