Every Color Chromakey

In this paper, we propose a region extraction method using chromakey with a two-tone checker pattern background. The proposed method solves the problem in conventional chromakey techniques that foreground objects become transparent if they have the same color with the background. The adjacency condition between two-tone regions of the background and the geometrical information of the background grid lines are utilized for extracting foreground objects. Experimental results show the effectiveness of the proposed method. Same color (a) Conventional chromakey. Same color as C 1 or C

Sensor-Based SLAM for Camera Tracking in Virtual Studio Environment

This paper addresses the problem of Camera Tracking in virtual studio environment. The traditional camera tracking methods are vision-based or sensor-based. However, the Chroma Keying process in virtual studio requires the color cues, such as blue screen, to segment objects from mages and videos. It limits the application of vision-based tracking methods in virtual studio since the background could not provide enough feature information. Therefore, in our research, we would try to apply the SLAM (simultaneously localization and mapping) methodology from mobile robots to the camera tracking area. We describe a sensor-based SLAM extension algorithm for 2D camera tracking in virtual studio. Also a technique call Map Adjustment is proposed to increase the accuracy and efficiency of the algorithm. The simulation results would be given in the conclusion. Keywords-SLAM, Particle Filter, Chroma Keying, Camera Trackin

Pattern Recognition

Pattern recognition is a very wide research field. It involves factors as diverse as sensors, feature extraction, pattern classification, decision fusion, applications and others. The signals processed are commonly one, two or three dimensional, the processing is done in real- time or takes hours and days, some systems look for one narrow object class, others search huge databases for entries with at least a small amount of similarity. No single person can claim expertise across the whole field, which develops rapidly, updates its paradigms and comprehends several philosophical approaches. This book reflects this diversity by presenting a selection of recent developments within the area of pattern recognition and related fields. It covers theoretical advances in classification and feature extraction as well as application-oriented works. Authors of these 25 works present and advocate recent achievements of their research related to the field of pattern recognition