Analysis of dynamic scenes to obtain motion parameters, structures and identities of the objects present in the scene, and/or descriptions of the events taking place in the scene is an important problem in machine vision. Dynamic scene analysis involves processing and analysis of a sequence of image
SMAC: A VLSI Architecture for Scene Matching
โ Scribed by N. Ranganathan; R. Sastry; R. Venkatesan
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 85 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1077-2014
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โฆ Synopsis
SMAC: A VLSI Architecture for Scene Matching*
cene matching is the problem of matching regions of two images of the same scene taken by different sensors at different times or under different viewing conditions. In this paper, we describe San efficient architecture for scene matching called SMAC (Scene Matching ArChitecture). The architecture achieves a significant amount of speedup by utilizing a large amount of parallelism and pipelining. Such an architecture can be used to compute the exhaustive search task of hierarchical scene matching, a technique used to reduce the amount of computations involved in scene matching applications. A prototype very large scale integration (VLSI) chip implementing a scaled down version of the proposed architecture has been designed and built. The prototype chip has been tested to be fully functional at a frequency of 50 MHz with a clock cycle of 20 ns. Based on the prototype design, it is estimated that the proposed architecture can process a 512 ฯซ 512 image with an 128 ฯซ 128 size template in about 15.36 s, which corresponds to a rate of 65K frames per second.
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