Paper
25 May 2005 Intelligent person identification system using stereo camera-based height and stride estimation
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Abstract
In this paper, a stereo camera-based intelligent person identification system is suggested. In the proposed method, face area of the moving target person is extracted from the left image of the input steros image pair by using a threshold value of YCbCr color model and by carrying out correlation between the face area segmented from this threshold value of YCbCr color model and the right input image, the location coordinates of the target face can be acquired, and then these values are used to control the pan/tilt system through the modified PID-based recursive controller. Also, by using the geometric parameters between the target face and the stereo camera system, the vertical distance between the target and stereo camera system can be calculated through a triangulation method. Using this calculated vertical distance and the angles of the pan and tilt, the target's real position data in the world space can be acquired and from them its height and stride values can be finally extracted. Some experiments with video images for 16 moving persons show that a person could be identified with these extracted height and stride parameters.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jung-Hwan Ko, Jae-Hun Jang, and Eun-Soo Kim "Intelligent person identification system using stereo camera-based height and stride estimation", Proc. SPIE 5817, Visual Information Processing XIV, (25 May 2005); https://doi.org/10.1117/12.604272
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KEYWORDS
Intelligence systems

Imaging systems

Stereoscopic cameras

Cameras

Image segmentation

System identification

Target acquisition

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