Distributed smart cameras are multiple-camera systems that perform computer vision tasks using distributed algorithms. Distributed algorithms scale better to large networks of cameras than do centralized algorithms. However, new approaches are required to many computer vision tasks in order to create efficient distributed algorithms. This chapter motivates the need for distributed computer vision, surveys background material in traditional computer vision, and describes several distributed computer vision algorithms for calibration, tracking, and gesture recognition.
CITATION STYLE
Wolf, M., & Schlessman, J. (2018). Distributed smart cameras and distributed computer vision. In Handbook of Signal Processing Systems (pp. 361–377). Springer International Publishing. https://doi.org/10.1007/978-3-319-91734-4_10
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