https://scholars.lib.ntu.edu.tw/handle/123456789/500645
Title: | Automatic detection and tracking of human heads using an active stereo vision system | Authors: | Tang, C.-Y. Chen, Z. YI-PING HUNG |
Issue Date: | 1997 | Journal Volume: | 1351 | Start page/Pages: | 632-639 | Source: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Abstract: | A head tracking system for automatically detecting and tracking human heads in complex backgrounds is developed. In this paper, two issues are addressed: the detection of human heads and the development of a head tracking system. First, based on an elliptical model for the human head, we propose a Maximum Likelihood (ML) detector to reliably locate human heads in images having complex backgrounds. This ellipse-based ML head detector is relatively insensitive to illumination and rotation of the human heads, and its computation is similar to template matching. Second, we develop a head tracking system 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. Difference images are used to detect the entrance of a human. The eUipse-based ML head detector and the mutually-supported constraint are used to extract the corresponding ellipses in a stereo image pair, Then, the 3D position computed from the centers of the two corresponding ellipses can be used for fixation. A well-calibrated active stereo head, the IIS-head, is used to perform the experiments and demonstrate that our approach is feasible and promising. © Springer-Verlag Berlin Heidelberg 1997. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/500645 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955792043&doi=10.1007%2f3-540-63930-6_176&partnerID=40&md5=0fa0bd3169570d92b4c630f9c9ce8430 |
ISSN: | 03029743 | DOI: | 10.1007/3-540-63930-6_176 | SDG/Keyword: | Computer vision; Geometry; Image matching; Maximum likelihood; Stereo image processing; Template matching; Tracking (position); Active stereo vision; Automatic Detection; Complex background; Difference images; Head tracking system; Maximum likelihood detectors; Stereo cameras; Stereo image pairs; Stereo vision |
Appears in Collections: | 電機工程學系 |
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