The webcam computer vision (WCCV) project focuses on computer vision algorithms and systems that follow the web cam paradigm: cheap, robust and efficient. The project comprises designs, patterns, code, tutorials and examples.
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Two demonstration applications using the Intel Open Computer Vision Library (OpenCV) have been uploaded in the CVS repository. The CAMSHIFT demonstration (CVS module CamshiftDemo) illustrates a now classical face tracking method based on color. Haar detection demo (CVS module: HaarDetectionDemo) illustrates the use of boosted classifiers for object detection (very successful with faces). Both demonstrations introduce new modules that will be contributed to the MFSM web site shortly. Both demonstrations will be subjects of corresponding tutorials contributed to the WCCV site.
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