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dc.contributor.authorTang, CYen_US
dc.contributor.authorChen, Zen_US
dc.contributor.authorHung, YPen_US
dc.date.accessioned2014-12-08T15:45:37Z-
dc.date.available2014-12-08T15:45:37Z-
dc.date.issued2000-03-01en_US
dc.identifier.issn0218-0014en_US
dc.identifier.urihttp://hdl.handle.net/11536/30695-
dc.description.abstractA new head tracking algorithm for automatically detecting and tracking human heads in complex backgrounds is proposed. By using an elliptical model for the human head, our Maximum Likelihood (ML) head detector can reliably locate human heads in images having complex backgrounds and is relatively insensitive to illumination and rotation of the human heads. Our head detector consists of two channels: the horizontal and the vertical channels. Each channel is implemented by multiscale template matching. Using a hierarchical structure in implementing our head detector, the execution time for detecting the human heads in a 512 x 512 image is about 0.02 second in a Spare 20 workstation (not including the time for image acquisition). Based on the ellipse-based ML head detector, we have developed a head tracking method that can monitor the entrance of a person, detect and track the person's head, and then control the stereo cameras to focus their gaze on this person's head. In this method, the ML head detector and the mutually-supported constraint are used to extract the corresponding ellipses in a stereo image pair. To implement a practical and reliable face detection and tracking system, further verification using facial features, such as eyes, mouth and nostrils, may be essential. The 3D position computed from the centers of the two corresponding ellipses is then used for fixation. An active stereo head has been used to perform the experiments and has demonstrated that the proposed approach is feasible and promising for practical uses.en_US
dc.language.isoen_USen_US
dc.subjectheart trackingen_US
dc.subjectmaximum likelihood head detectoren_US
dc.subjectmultiscaleen_US
dc.subjectface detectionen_US
dc.subjectactive visionen_US
dc.subjectstereo visionen_US
dc.titleAutomatic detection and tracking of human heads using an active stereo vision systemen_US
dc.typeArticleen_US
dc.identifier.journalINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCEen_US
dc.citation.volume14en_US
dc.citation.issue2en_US
dc.citation.spage137en_US
dc.citation.epage166en_US
dc.contributor.department資訊科學與工程研究所zh_TW
dc.contributor.departmentInstitute of Computer Science and Engineeringen_US
dc.identifier.wosnumberWOS:000086955100003-
dc.citation.woscount3-
Appears in Collections:Articles