Abstract
The combination of fixed camera and PTZ (Pan Tilt Zoom) camera is a technical for picking up high-definition target images in large-scale scene. The challenge of dual camera model is to calculate the PTZ parameters. In this paper, a structural constraint based dual camera model is proposed, which can simplify the calculation of PTZ parameters (pan angle, tilt angle and zoom ra-tio). The advantage of the proposed approach is that the model parameters are off-line computed just once and cameras don’t require recalibration when they are working. Furthermore, a focusable dual camera system has been developed to track interested targets on-line and acquire their high definition images. The proposed approach has been compared with other three typical algorithms, and the implemented dual-camera system is applied to make pedestrian detection in natural scene and obtain their high-definition images. The simulation test and real-scene experiment prove the effectiveness of proposed approach, and the developed system achieves the desired effect.
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Li, X., Liu, Y., Zhai, S., Cui, Z. (2014). A Structural Constraint Based Dual Camera Model. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45646-0_30
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DOI: https://doi.org/10.1007/978-3-662-45646-0_30
Publisher Name: Springer, Berlin, Heidelberg
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