Learn More
Pattern recognition techniques have widely been used in the context of odor recognition. The recognition of mixtures and simple odors as separate clusters is an untractable problem with some of the classical supervised methods. Recently, a new paradigm has been introduced in which the detection problem can be seen as a learning from examples problem. In(More)
It may be distributed unchanged freely in print or electronic forms. Abstract Range Imaging (RIM) is a new suitable choice for measurement and modelling in many different applications. The ability to describe scenes in three dimensions opens new scenarios, providing new opportunities in different fields, including visual monitoring and security. Active(More)
This paper presents a new approach for shadow detection of moving objects in visual surveillance environment, improving localization, segmentation, tracking and classification of detected objects. An automatic segmentation procedure based on adaptive background difference is performed in order to detect potential shadow points so that, for all moving(More)
In this study, we analyzed the transient of microsensors based on tin oxide sol–gel thin film. A novel method to this research field for data analysis and discrimination among different volatile organic compounds is presented. Moreover; several feature extraction methods have been considered, both steady-state (fractional change, relative, difference and(More)
In this paper an automated video surveillance system for human posture recognition using active contours and neural networks is presented. Localization of moving objects in the scene and human posture estimation are key features of the proposed architecture. The system architecture consists of five sequential modules that include the moving target detection(More)
Moving objects tracking is an important problem in many applications such as video-surveillance. Monitoring systems can be improved using vision-based techniques able to extract and classify objects in the scene. However, problems arise due to unexpected shadows because shadow detection is critical for accurate objects detection in video stream, since(More)
Ž. The paper presents two neural networks based on the adaptive resonance theory ART for the recognition of several odors subjected Ž. to drift. The neural networks developed by Grossberg supervised and unsupervised have been used for two different drift behaviors. One in which the clusters end up to overlap each other and the other when they do not. The(More)
We present mechanisms for attention control and pattern categorization as the basis for robot cognition. For attention, we gather information from attentional feature maps extracted from sensory data constructing salience maps to decide where to foveate. For iden-tiication, multi-feature maps are used as input to an associative memory, allowing the system(More)