Titlebook: Innovations in Applied Artificial Intelligence; 18th International C Moonis Ali,Floriana Esposito Conference proceedings 2005 Springer-Verl

instate

发现

钢笔记下惩罚

Place Recognition System from Long-Term Observationses provides more information about the places and that can be used for more robust recognition. For this, the proposed system recognize places using density matching between the estimated density of the input set and density of the stored images for each place. In the proposed system, we use global

arabesque

Oversee

MINT

Head Detection of the Car Occupant Based on Contour Models and Support Vector Machines], disparity map [7], skin color method [8] and a head-shoulder contour [9]. Those methods are mainly based on stereo vision and color information for detecting the head. Our application domain is the telematics, especially within the car. In such environment, the illumination level is very variable

choleretic

A Morphological Proposal for Vision-Based Path Planning this work we implement a path planning algorithm which takes into account a vision processing system. Thus, we develop a method that uses Mathematical Morphology to provide near-optimal paths throughout an environment. The experiments show that our path planning algorithm is able to locate good sol

轻浮思想

A New Video Surveillance System Employing Occluded Face Detectione (ATM) in a bank. Gradient mapping in scale space is applied on an original image, providing human face representation robust to illumination variance. Detection of the partially occluded face, which can be used in characterization of suspicious ATM users, is then performed based on Support Vector

discord

Intelligent Vocal Cord Image Analysis for Categorizing Laryngeal Diseases to diagnose laryngeal diseases. This type of examination is rather subjective and to a great extent depends on physician’s experience. A decision support system for automated analysis of vocal cord images, created exploiting numerous vocal cord images can be a valuable tool enabling increased relia

nuclear-tests

Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matchingcument images is a challenging problem. The OCR software helps the images to be converted to the machine readable documents to search a full context [1]. Another approach [1, 2] is image-based one, in which both the document images and word information are saved in a database. The searching procedur