| Summary: | 碩士 === 國立中央大學 === 電機工程學系 === 104 === The digital surveillance system becomes more and more popular in recent years. It attempts to raise amount of high resolution cameras, consequently those systems stupendously increase the computational load on central server. As in the intelligent object recognition processing flow, the technique on segmentation and tracking multiple targets, such as tracking group of people through occlusion is still challenging. In this paper, we present an architecture design for intelligent surveillance system. Mainly made up of four image processing module composed, contains foreground detection, sliced connected component labeling, object grouping and object tracking. We have a complete system-level solution on algorithm and VLSI implementation. This design is using TSMC 90 nm library with 4 MHz operation frequency. Without calculating memory of gate count about 18.71K. Power consumption about 11.4037mW and memory usage is 92.288Kbytes. Simply use the center and boundary box of the object will be able to track objects, and solve the problem occurs when occlusion.
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