Search results for "Video sequence"
showing 10 items of 11 documents
Accuracy of Self-Esteem Judgments at Zero Acquaintance.
2017
Objective Perceptions of strangers’ self-esteem can have wide-ranging interpersonal consequences. Aiming to reconcile inconsistent results from previous research that had predominantly suggested that self-esteem is a trait that can hardly be accurately judged at zero acquaintance, we examined unaquainted others’ accuracy in inferring individuals’ actual self-esteem. Method Ninety-nine target participants (77 female; Mage = 23.5 years) were videotaped in a self-introductory situation, and self-esteem self-reports and reports by well-known informants were obtained as separate accuracy criteria. Forty unacquainted observers judged targets' self-esteem on the basis of these short video sequence…
Fully automatic face recognition system using a combined audio-visual approach
2005
This paper presents a novel audio and video information fusion approach that greatly improves automatic recognition of people in video sequences. To that end, audio and video information is first used independently to obtain confidence values that indicate the likelihood that a specific person appears in a video shot. Finally, a post-classifier is applied to fuse audio and visual confidence values. The system has been tested on several news sequences and the results indicate that a significant improvement in the recognition rate can be achieved when both modalities are used together.
A study on recovering the cloud top-height from infra-red video sequences
2004
In this paper we present some preliminary results on an opticalfow based technique aimed at recovering the cloud-top height from infra-red image sequences. The recovery of the cloud-top height from satellite infra-red images is an important topic in meteorological studies, and is traditionally based on the analysis of the temperature maps. In this work we explore the feasibility for this problem of a technique based on a robust multi-resolution opticalfow algorithm. The robustness is achieved adopting a Least Median of Squares paradigm. The algorithm has been tested on semi-synthetic data (i.e. real data that have been synthetically warped in order to have a reliable ground truth for the mo…
Finding essential features for tracking starfish in a video sequence
2004
The paper introduces a software system for detecting and tracking starfish in an underwater video sequence. The target of such a system is to help biologists in giving an estimate of the number of starfish present in a particular area of the sea-bottom. The nature of the input images is characterised by a low signal/noise ratio and by the presence of noisy background represented by pebbles; this makes the detection a non-trivial task. The procedure we use is a chain of several steps that starts from the extraction of the area of interest and ends with a classifier and a tracker providing the necessary information for counting the starfish present in the scene. © 2003 IEEE.
Industrial video sequences for network performance evaluation
2005
The analysis of video traffic characteristics plays a fundamental role in the evaluation of network performance or schedule design. However, the majority of these analyses are based on the study of traffic characteristics generated with different codifiers on typical general purpose films or sequences. These are generally made using asymmetric codifiers which are not usable in live real-time multimedia transmission systems. Moreover, the properties of these sequences are not necessarily equivalent to those obtained in an industrial environment. In this paper industrial monitoring video sequences are presented, describing their various characteristics, from the point of view of the source as…
Segmentation and feature extraction in capillaroscopic videos
2015
This contribution describes a method to select regions of interest as capillaries of the oral mucosa and to extract their main features useful for real diagnosis purposes. A discrete version of the wavelet transform has been adopted for segmenting the images coming from video sequences acquired by a prototype capillaroscopic, able to put in evidence the red blood flow. A set of proper characteristics is automatically computed for a correct evaluation of the peripheral microcirculation.
Real-Time Object Detection in Embedded Video Surveillance Systems
2008
In this paper we report a new method to detect both moving objects and new stationary objects in video sequences. On the basis of temporal consideration we classify pixels into three classes: background, midground and foreground to distinguish between long-term, medium-term and short-term changes. The algorithm has been implemented on a hardware platform with limited resources and it could be used in a wider system like a wireless sensor networks. Particular care has been put in realizing the algorithm so that the limited available resources are used in an efficient way. Experiments have been conducted on publicly available datasets and performance measures are reported.
Piecewise planar underwater mosaicing
2015
A commonly ignored problem in planar mosaics, yet often present in practice, is the selection of a reference homography reprojection frame where to attach the successive image frames of the mosaic. A bad choice for the reference frame can lead to severe distortions in the mosaic and can degenerate in incorrect configurations after some sequential frame concatenations. This problem is accentuated in uncontrolled underwater acquisition setups as those provided by AUVs or ROVs due to both the noisy trajectory of the acquisition vehicle — with roll and pitch shakes — and to the non-flat nature of the seabed which tends to break the planarity assumption implicit in the mosaic construction. These…
Accurate Judgments of Neuroticism at Zero Acquaintance: A Question of Relevance
2014
Prior studies have consistently found a surprising inaccuracy of people's neuroticism judgments at zero acquaintance. Based on the Realistic Accuracy Model (Funder, 1995), we hypothesize that this is due to a lack of relevance of the situation in which targets are typically observed. Fifty participants were videotaped in a highly trait-relevant (i.e., socially stressful) situation as well as three less relevant situations. An aggregate of self-reports and informant reports was used as the accuracy criterion. Four independent groups of unacquainted observers judged participants' neuroticism based on these short video sequences. Results showed that neuroticism judgments were significantly mor…
Cognitive processes behind the shooter bias: Dissecting response bias, motor preparation and information accumulation
2021
Abstract A rich body of research points to racial biases in so-called police officer dilemma tasks: participants are generally faster and less error-prone to “shoot” (vs. not “shoot”) Black (vs. White) targets. In three experimental (and two supplemental) studies (total N = 914), we aimed at examining the cognitive processes underlying these findings under fully standardized conditions. To be able to dissect a-priori decision bias, biased information processing and motor preparation, we rendered video sequences of virtual avatars that differed in nothing but the tone of their skin. Modeling the data via drift diffusion models revealed that the threat of a social group can be explicitly lear…