Abstract
This article focuses on how to use simple image processing techniques to realize a dynamic object detecting and tracking surveillance system on a SoPC. We try to mount a camera on a two-dimensional rotation machinery so as to dynamically search the environment by controlling the rotation of this machinery. In detection mode, the system rotates the machinery along a predefined path to capture images with fixed time interval and compare the images with their corresponding previously recorded reference images for determining if any intrusion objects appear. Once an intrusion object is detected, the system switches to tracking mode. In tracking mode, successive images are compared to find the most possible area in the image where the object locates. The color which occupies biggest region in this possible area in the image is finally recognized as the feature of the intrusion object. The resulting system has functions including intrusion detecting, object tracking, warning message sending, and internet remote watching and all these functions have been experimentally proven that they works well on the SoPC system simultaneously.
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Hsu, YP., Miao, HC., Huang, SH. (2011). A SoPC-Based Surveillance System. In: Li, TH.S., et al. Next Wave in Robotics. FIRA 2011. Communications in Computer and Information Science, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23147-6_11
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DOI: https://doi.org/10.1007/978-3-642-23147-6_11
Publisher Name: Springer, Berlin, Heidelberg
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