An Efficient Template Matching Architecture for Real-Time Shape-Based Detection Systems
Date Issued
2010
Date
2010
Author(s)
Cheng, Po-Wen
Abstract
Template-based matching methods are often used for object detection because of their effectiveness and simplicity. To accelerate the speed of template matching in hardware implementation, there have been many studies on either algorithmic or architectural improvements. However, they are often lack of comprehensive considerations, resulting in the fact that many of them cannot be adopted for a practical application. In this thesis, we try implementing in hardware an algorithm that is more robust among all the studies, and integrate it into the real-time video system developed by our laboratory. Besides, we reduce the overall hardware resources required for the algorithm by removing some arithmetic units whose results can be pre-computed offline. The CPU in the video system is then instructed to calculate these results dynamically when the system is operating. Experimental results show that our modification of the architecture indeed achieves a reduction in the logic elements needed. Moreover, the video system with the template matching function inside can still work at its original clock rate, preserving the real-time characteristic.
Subjects
Image Processing
Template Matching
Real-Time
Video
SoC
Type
thesis
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