Human eye localization using edge projections
VISAPP 2007 - 2nd International Conference on Computer Vision Theory and Applications, Proceedings
410 - 415
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/26985
in this paper, a human eye localization algorithm in images and video is presented for faces with frontal pose and upright orientation. A given face region is filtered by a high-pass filter of a wavelet transform. In this way, edges of the region are highlighted, and a caricature-like representation is obtained. After analyzing horizontal projections and profiles of edge regions in the high-pass filtered image, the candidate points for each eye are detected. All the candidate points are then classified using a support vector machine based classifier. Locations of each eye are estimated according to the most probable ones among the candidate points. It is experimentally observed that our eye localization method provides promising results for both image and video processing applications.
Showing items related by title, author, creator and subject.
Verstockt, S.; Hoecke, S. V.; Beji, T.; Merci, B.; Gouverneur, B.; Cetin, A. E.; Potter, P. D.; Walle, R. V. D. (Elsevier, 2013)In this paper a novel multi-modal flame and smoke detector is proposed for the detection of fire in large open spaces such as car parks. The flame detector is based on the visual and amplitude image of a time-of-flight ...
Erden F.; Soyer, E.B.; Toreyin, B.U.; Çetin, A.E. (2010)In this paper, we propose a novel method for detecting and monitoring Volatile Organic Compounds (VOC) gas leaks by using a Pyro-electric (or Passive) Infrared (PIR) sensor whose spectral range intersects with the absorption ...
Habiboǧlu, Y.H.; Günay O.; Çetin, A.E. (2011)Video fire detection system which uses a spatio-temporal covariance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes covariance features extracted from these blocks ...